ocean_color_ESA.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ocean Color from ESA\n",
    "\n",
    "https://esa-oceancolour-cci.org/\n",
    "\n",
    "daily data:\n",
    "https://rsg.pml.ac.uk/thredds/dodsC/CCI_ALL-v4.1-DAILY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import datetime\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.colors as colors\n",
    "\n",
    "import cartopy \n",
    "import cartopy.crs as ccrs\n",
    "\n",
    "# import netcdf4\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# load and slice a small region"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "183.14448\n"
     ]
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       "    water_class9        (time, lat, lon) float32 ...\n",
       "    water_class10       (time, lat, lon) float32 ...\n",
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       "    Rrs_665_bias        (time, lat, lon) float32 ...\n",
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       "    adg_490_bias        (time, lat, lon) float32 ...\n",
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       "    adg_560_bias        (time, lat, lon) float32 ...\n",
       "    adg_665_bias        (time, lat, lon) float32 ...\n",
       "    kd_490_rmsd         (time, lat, lon) float32 ...\n",
       "    kd_490_bias         (time, lat, lon) float32 ...\n",
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       "    start_date:                        29-JUN-2020 00:00:00.000000\n",
       "    stop_date:                         29-JUN-2020 23:59:00.000000\n",
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       "    comment:                           See summary attribute\n",
       "    creation_date:                     20200923T160546Z\n",
       "    creator_email:                     help@esa-oceancolour-cci.org\n",
       "    creator_name:                      Plymouth Marine Laboratory\n",
       "    creator_url:                       http://esa-oceancolour-cci.org\n",
       "    date_created:                      20200923T160546Z\n",
       "    geospatial_lat_max:                90.0\n",
       "    geospatial_lat_min:                -90.0\n",
       "    geospatial_lat_resolution:         .04166666666666666666\n",
       "    geospatial_lat_units:              decimal degrees north\n",
       "    geospatial_lon_max:                180.0\n",
       "    geospatial_lon_min:                -180.0\n",
       "    geospatial_lon_resolution:         .04166666666666666666\n",
       "    geospatial_lon_units:              decimal degrees east\n",
       "    geospatial_vertical_max:           0.0\n",
       "    geospatial_vertical_min:           0.0\n",
       "    history:                           Source data were: NASA OBPG SeaWiFS le...\n",
       "    id:                                ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DA...\n",
       "    institution:                       Plymouth Marine Laboratory\n",
       "    keywords:                          satellite,observation,ocean,ocean colour\n",
       "    keywords_vocabulary:               none\n",
       "    license:                           ESA CCI Data Policy: free and open acc...\n",
       "    naming_authority:                  uk.ac.pml\n",
       "    number_of_optical_water_types:     14\n",
       "    platform:                          Orbview-2,Aqua,Envisat,Suomi-NPP, Sent...\n",
       "    processing_level:                  Level-3\n",
       "    product_version:                   5.0\n",
       "    project:                           Climate Change Initiative - European S...\n",
       "    references:                        http://www.esa-oceancolour-cci.org/\n",
       "    sensor:                            SeaWiFS,MODIS,MERIS,VIIRS,OLCI\n",
       "    sensors_present:                    MODISA OLCIa VIIRSN\n",
       "    source:                            NASA SeaWiFS  L1A and L2 R2018.0 LAC a...\n",
       "    spatial_resolution:                4km nominal at equator\n",
       "    standard_name_vocabulary:          NetCDF Climate and Forecast (CF) Metad...\n",
       "    summary:                           Data products generated by the Ocean C...\n",
       "    time_coverage_duration:            P1D\n",
       "    time_coverage_end:                 202006292359Z\n",
       "    time_coverage_resolution:          P1D\n",
       "    time_coverage_start:               202006290000Z\n",
       "    title:                             ESA CCI Ocean Colour Product\n",
       "    tracking_id:                       247f8353-66fa-490d-bf6f-7e13f80a16c1\n",
       "    git_commit_hash:                   21493907964393c04f01a5908ab41f8083b98a61\n",
       "    number_of_bands_used_to_classify:  4</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-2983e782-a3bd-4435-9f22-caae936d7013' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-2983e782-a3bd-4435-9f22-caae936d7013' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>lat</span>: 48</li><li><span class='xr-has-index'>lon</span>: 432</li><li><span class='xr-has-index'>time</span>: 24</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-018df4b4-f852-43ae-a718-eba24015261b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-018df4b4-f852-43ae-a718-eba24015261b' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lat</span></div><div class='xr-var-dims'>(lat)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>71.98 71.94 71.9 ... 70.06 70.02</div><input id='attrs-12f10ee7-76f8-4579-b538-69984802b221' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-12f10ee7-76f8-4579-b538-69984802b221' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-169047a1-bd54-48fa-992d-96673d31c924' class='xr-var-data-in' type='checkbox'><label for='data-169047a1-bd54-48fa-992d-96673d31c924' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>long_name :</span></dt><dd>latitude</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>valid_min :</span></dt><dd>-89.97916666666666</dd><dt><span>valid_max :</span></dt><dd>89.97916666666667</dd><dt><span>axis :</span></dt><dd>Y</dd><dt><span>_ChunkSizes :</span></dt><dd>270</dd></dl></div><div class='xr-var-data'><pre>array([71.979167, 71.9375  , 71.895833, 71.854167, 71.8125  , 71.770833,\n",
       "       71.729167, 71.6875  , 71.645833, 71.604167, 71.5625  , 71.520833,\n",
       "       71.479167, 71.4375  , 71.395833, 71.354167, 71.3125  , 71.270833,\n",
       "       71.229167, 71.1875  , 71.145833, 71.104167, 71.0625  , 71.020833,\n",
       "       70.979167, 70.9375  , 70.895833, 70.854167, 70.8125  , 70.770833,\n",
       "       70.729167, 70.6875  , 70.645833, 70.604167, 70.5625  , 70.520833,\n",
       "       70.479167, 70.4375  , 70.395833, 70.354167, 70.3125  , 70.270833,\n",
       "       70.229167, 70.1875  , 70.145833, 70.104167, 70.0625  , 70.020833])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>lon</span></div><div class='xr-var-dims'>(lon)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-168.0 -167.9 ... -150.1 -150.0</div><input id='attrs-efcff961-14c0-4f94-847c-aa39c5734503' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efcff961-14c0-4f94-847c-aa39c5734503' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-797752cd-9ea7-4d8a-8510-fc09ba4915e0' class='xr-var-data-in' type='checkbox'><label for='data-797752cd-9ea7-4d8a-8510-fc09ba4915e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>units :</span></dt><dd>degrees_east</dd><dt><span>long_name :</span></dt><dd>longitude</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>valid_min :</span></dt><dd>-179.97916666666666</dd><dt><span>valid_max :</span></dt><dd>179.97916666666663</dd><dt><span>axis :</span></dt><dd>X</dd><dt><span>_ChunkSizes :</span></dt><dd>270</dd></dl></div><div class='xr-var-data'><pre>array([-167.979167, -167.9375  , -167.895833, ..., -150.104167, -150.0625  ,\n",
       "       -150.020833])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2017-07-28 ... 2017-08-20</div><input id='attrs-8af899a6-2998-4f0d-8bd4-c261616a456c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8af899a6-2998-4f0d-8bd4-c261616a456c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fa693b3b-ad2c-4cfd-b5fe-a477f650d6f4' class='xr-var-data-in' type='checkbox'><label for='data-fa693b3b-ad2c-4cfd-b5fe-a477f650d6f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>axis :</span></dt><dd>T</dd><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2017-07-28T00:00:00.000000000&#x27;, &#x27;2017-07-29T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-07-30T00:00:00.000000000&#x27;, &#x27;2017-07-31T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-01T00:00:00.000000000&#x27;, &#x27;2017-08-02T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-03T00:00:00.000000000&#x27;, &#x27;2017-08-04T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-05T00:00:00.000000000&#x27;, &#x27;2017-08-06T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-07T00:00:00.000000000&#x27;, &#x27;2017-08-08T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-09T00:00:00.000000000&#x27;, &#x27;2017-08-10T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-11T00:00:00.000000000&#x27;, &#x27;2017-08-12T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-13T00:00:00.000000000&#x27;, &#x27;2017-08-14T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-15T00:00:00.000000000&#x27;, &#x27;2017-08-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-17T00:00:00.000000000&#x27;, &#x27;2017-08-18T00:00:00.000000000&#x27;,\n",
       "       &#x27;2017-08-19T00:00:00.000000000&#x27;, &#x27;2017-08-20T00:00:00.000000000&#x27;],\n",
       "      dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-dbc82e43-37f0-43a7-9992-2df7bf99293f' class='xr-section-summary-in' type='checkbox'  ><label for='section-dbc82e43-37f0-43a7-9992-2df7bf99293f' class='xr-section-summary' >Data variables: <span>(93)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>crs</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7a71d46-9bab-4f66-94da-c773f4621b75' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7a71d46-9bab-4f66-94da-c773f4621b75' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64c70fa5-cee4-4ba2-b82e-0f614ccbd8b2' class='xr-var-data-in' type='checkbox'><label for='data-64c70fa5-cee4-4ba2-b82e-0f614ccbd8b2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>grid_mapping_name :</span></dt><dd>latitude_longitude</dd><dt><span>_ChunkSizes :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
       "      dtype=int32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MODISA_nobs</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f252bacf-57f0-43f8-a811-e5251ced8d8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f252bacf-57f0-43f8-a811-e5251ced8d8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a67cc48-967a-45ec-8957-85066d3eb5c2' class='xr-var-data-in' type='checkbox'><label for='data-1a67cc48-967a-45ec-8957-85066d3eb5c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Count of the number of observations from the MODIS (Aqua) sensor contributing to this bin cell</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>VIIRS_nobs</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e76d4331-7682-4ad9-a6c5-3ac6176a20a2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e76d4331-7682-4ad9-a6c5-3ac6176a20a2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a26a9104-53c6-41c2-ab8d-7de3960d4202' class='xr-var-data-in' type='checkbox'><label for='data-a26a9104-53c6-41c2-ab8d-7de3960d4202' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Count of the number of observations from the VIIRS sensor contributing to this bin cell</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>OLCI_nobs</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f6b26f8-c550-43b1-8e57-f80dbda839e1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f6b26f8-c550-43b1-8e57-f80dbda839e1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ccd3a07-f994-4bfe-a199-698383bc9f97' class='xr-var-data-in' type='checkbox'><label for='data-1ccd3a07-f994-4bfe-a199-698383bc9f97' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Count of the number of observations from the OLCI sensor contributing to this bin cell</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>MERIS_nobs</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-59f72c2b-cc02-4d6d-b858-716744051ca0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59f72c2b-cc02-4d6d-b858-716744051ca0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eede0177-315e-452c-bd80-2afdfa202fc3' class='xr-var-data-in' type='checkbox'><label for='data-eede0177-315e-452c-bd80-2afdfa202fc3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Count of the number of observations from the MERIS sensor contributing to this bin cell</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>SeaWiFS_nobs</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b3ade2a8-f09a-442a-b119-fa42a8078ed3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b3ade2a8-f09a-442a-b119-fa42a8078ed3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d0bca0d3-30da-47ea-86f9-71dabf6584bd' class='xr-var-data-in' type='checkbox'><label for='data-d0bca0d3-30da-47ea-86f9-71dabf6584bd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Count of the number of observations from the SeaWiFS (GAC and LAC) sensor contributing to this bin cell</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>total_nobs</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6145ceb9-f0cd-4bb8-b94e-f6770b9d38b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6145ceb9-f0cd-4bb8-b94e-f6770b9d38b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9f3d5a95-ef73-4dd1-9acc-698e3dc461ff' class='xr-var-data-in' type='checkbox'><label for='data-9f3d5a95-ef73-4dd1-9acc-698e3dc461ff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Count of the total number of observations contributing to this bin cell</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_412</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-da1e9cf1-471c-4cd2-90c6-d2d782698d42' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da1e9cf1-471c-4cd2-90c6-d2d782698d42' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f5cea278-cd6a-419c-b137-a2485d19408c' class='xr-var-data-in' type='checkbox'><label for='data-f5cea278-cd6a-419c-b137-a2485d19408c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>ancillary_variables :</span></dt><dd>Rrs_412_rmsd Rrs_412_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFV13N26</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_443</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-170ba5e9-2959-47d2-83ca-1e3d88f2b39e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-170ba5e9-2959-47d2-83ca-1e3d88f2b39e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-81de7aa6-e880-4c54-a0eb-2f12fb0d9a37' class='xr-var-data-in' type='checkbox'><label for='data-81de7aa6-e880-4c54-a0eb-2f12fb0d9a37' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>ancillary_variables :</span></dt><dd>Rrs_443_rmsd Rrs_443_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFV13N26</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_490</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d7b75f95-4952-4a74-abbe-d98692ee0c4a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d7b75f95-4952-4a74-abbe-d98692ee0c4a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4604ee1d-914f-4d5c-bdb9-4028514f210a' class='xr-var-data-in' type='checkbox'><label for='data-4604ee1d-914f-4d5c-bdb9-4028514f210a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>ancillary_variables :</span></dt><dd>Rrs_490_rmsd Rrs_490_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFV13N26</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_510</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-203d0d86-acad-4b77-9d52-773451112f13' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-203d0d86-acad-4b77-9d52-773451112f13' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dbdbb9b5-6c36-4d4a-929c-a8524d1a0b82' class='xr-var-data-in' type='checkbox'><label for='data-dbdbb9b5-6c36-4d4a-929c-a8524d1a0b82' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>ancillary_variables :</span></dt><dd>Rrs_510_rmsd Rrs_510_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFV13N26</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_560</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7ac965ed-3117-441e-b8a8-40645d5d0dc2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ac965ed-3117-441e-b8a8-40645d5d0dc2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-114e440b-46fd-4ea5-9817-871533f95897' class='xr-var-data-in' type='checkbox'><label for='data-114e440b-46fd-4ea5-9817-871533f95897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>ancillary_variables :</span></dt><dd>Rrs_560_rmsd Rrs_560_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFV13N26</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_665</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a4c31db3-4a64-4516-8c05-135bcddd5375' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a4c31db3-4a64-4516-8c05-135bcddd5375' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3bcb28eb-23be-47f4-9036-43b02a306e41' class='xr-var-data-in' type='checkbox'><label for='data-3bcb28eb-23be-47f4-9036-43b02a306e41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>ancillary_variables :</span></dt><dd>Rrs_665_rmsd Rrs_665_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFV13N26</dd><dt><span>standard_name :</span></dt><dd>surface_ratio_of_upwelling_radiance_emerging_from_sea_water_to_downwelling_radiative_flux_in_air</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class1</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4ffd32e5-0b73-4f59-a2dc-f7aa8a5114b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ffd32e5-0b73-4f59-a2dc-f7aa8a5114b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0ac00609-f398-40c5-b45a-3ea93f3257c5' class='xr-var-data-in' type='checkbox'><label for='data-0ac00609-f398-40c5-b45a-3ea93f3257c5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 1 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class2</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eae7469a-8ef4-48a5-abb1-4393dc340e41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eae7469a-8ef4-48a5-abb1-4393dc340e41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-89475080-53fb-47d9-8da0-d6df9b8af2a2' class='xr-var-data-in' type='checkbox'><label for='data-89475080-53fb-47d9-8da0-d6df9b8af2a2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 2 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class3</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-18d91151-e092-41ec-b72d-aa5d2a0fd617' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18d91151-e092-41ec-b72d-aa5d2a0fd617' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1379dcca-7fde-4b0d-b13f-46109ad327c8' class='xr-var-data-in' type='checkbox'><label for='data-1379dcca-7fde-4b0d-b13f-46109ad327c8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 3 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class4</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b422dc70-9ac9-4fcd-adce-e489fbbeaeb5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b422dc70-9ac9-4fcd-adce-e489fbbeaeb5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc1e7f51-6621-4d13-bd91-8396ed2bfea4' class='xr-var-data-in' type='checkbox'><label for='data-bc1e7f51-6621-4d13-bd91-8396ed2bfea4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 4 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class5</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f298e90a-c85b-4057-a0fd-8ddca8b36490' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f298e90a-c85b-4057-a0fd-8ddca8b36490' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc274197-3ae7-4a4c-869e-843d42d2e943' class='xr-var-data-in' type='checkbox'><label for='data-bc274197-3ae7-4a4c-869e-843d42d2e943' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 5 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class6</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2a45cd6c-b492-4fd2-9d4b-70c53e5547ba' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a45cd6c-b492-4fd2-9d4b-70c53e5547ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4b9f3e5-95e6-407d-bd98-1e5feb0147ec' class='xr-var-data-in' type='checkbox'><label for='data-c4b9f3e5-95e6-407d-bd98-1e5feb0147ec' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 6 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class7</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-01ad2579-8466-4486-bbf7-4ce5277b8ee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-01ad2579-8466-4486-bbf7-4ce5277b8ee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-72bd3d0a-31e3-4629-983a-d99c877918bc' class='xr-var-data-in' type='checkbox'><label for='data-72bd3d0a-31e3-4629-983a-d99c877918bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 7 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class8</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7e0c9ce0-78d7-4a9c-84fb-fb9a60d24f03' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e0c9ce0-78d7-4a9c-84fb-fb9a60d24f03' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d661f630-1837-4d34-ab7a-4392bed74f73' class='xr-var-data-in' type='checkbox'><label for='data-d661f630-1837-4d34-ab7a-4392bed74f73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 8 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class9</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c496b8cc-6153-4a64-a9ed-63ae34f937f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c496b8cc-6153-4a64-a9ed-63ae34f937f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0275305a-f63d-4269-a072-6c3f793c8122' class='xr-var-data-in' type='checkbox'><label for='data-0275305a-f63d-4269-a072-6c3f793c8122' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 9 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class10</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cac2b5df-0bbc-4c75-82f0-ca3cdf652939' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cac2b5df-0bbc-4c75-82f0-ca3cdf652939' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9de83712-d268-4009-85d8-5bf9dde4261a' class='xr-var-data-in' type='checkbox'><label for='data-9de83712-d268-4009-85d8-5bf9dde4261a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 10 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class11</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-030cae44-17c4-409f-b308-b1f540ea9597' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-030cae44-17c4-409f-b308-b1f540ea9597' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5245f6b6-2c52-4755-b001-5538cd87d0f3' class='xr-var-data-in' type='checkbox'><label for='data-5245f6b6-2c52-4755-b001-5538cd87d0f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 11 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class12</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-26a28c40-ece2-4fd2-b2c5-99f696796e55' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-26a28c40-ece2-4fd2-b2c5-99f696796e55' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8555ddb-f2a0-4bc0-87dc-cc70652a68e9' class='xr-var-data-in' type='checkbox'><label for='data-f8555ddb-f2a0-4bc0-87dc-cc70652a68e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 12 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class13</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e921a4fe-91c8-4fe5-b7c4-01b91fab3e06' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e921a4fe-91c8-4fe5-b7c4-01b91fab3e06' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9bd38fdc-e1c2-446e-ab0b-3e5866d68c66' class='xr-var-data-in' type='checkbox'><label for='data-9bd38fdc-e1c2-446e-ab0b-3e5866d68c66' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 13 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>water_class14</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f1c24b05-d459-4367-996f-ba0ec316d861' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f1c24b05-d459-4367-996f-ba0ec316d861' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f33b1aa2-0ebf-48ea-8f3e-09e45a5b3718' class='xr-var-data-in' type='checkbox'><label for='data-f33b1aa2-0ebf-48ea-8f3e-09e45a5b3718' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Normalised water class 14 membership, as determined by the fuzzy classification algorithm adapted from Tim Moore (2009) and custom-developed classes to best represent the CCI merged data (Jackson et al. 2017) with OLCI updates (Jackson et al. in prep)</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>paper_ref :</span></dt><dd>Thomas Jackson, Shubha Sathyendranath, Frederic Melin, (2017) An improved optical classification scheme for the Ocean Colour Essential Climate Variable and its applications, Remote Sensing of Environment, Available online 5 April 2017, ISSN 0034-4257, http://doi.org/10.1016/j.rse.2017.03.036.</dd><dt><span>ref :</span></dt><dd>http://dx.doi.org/10.1016/j.rse.2009.07.016</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atot_412</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-57d0e49b-eeed-4404-8c5d-8c45757426fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-57d0e49b-eeed-4404-8c5d-8c45757426fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9176d39-1612-4c2c-9fff-6ee8fa405cb9' class='xr-var-data-in' type='checkbox'><label for='data-f9176d39-1612-4c2c-9fff-6ee8fa405cb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total absorption coefficient at 412 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0062</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atot_443</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b21a73be-b5fa-485f-9a77-f9ace0ff1ca5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b21a73be-b5fa-485f-9a77-f9ace0ff1ca5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b01cd8cf-13c3-416d-90a1-e61534784f2c' class='xr-var-data-in' type='checkbox'><label for='data-b01cd8cf-13c3-416d-90a1-e61534784f2c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total absorption coefficient at 443 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0062</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atot_490</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b2398145-0ef3-4590-89a2-10d7d0d34fcb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b2398145-0ef3-4590-89a2-10d7d0d34fcb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fe0d6138-c868-43bd-941d-37fd91fda3c9' class='xr-var-data-in' type='checkbox'><label for='data-fe0d6138-c868-43bd-941d-37fd91fda3c9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total absorption coefficient at 490 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0062</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atot_510</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4210b983-50c4-46f3-88c8-db08610fb2dd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4210b983-50c4-46f3-88c8-db08610fb2dd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-697ba1f1-6c35-417d-b599-87aa888d21f7' class='xr-var-data-in' type='checkbox'><label for='data-697ba1f1-6c35-417d-b599-87aa888d21f7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total absorption coefficient at 510 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0062</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atot_560</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f75d68b7-2230-472b-98c5-84501cb871ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f75d68b7-2230-472b-98c5-84501cb871ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ebf88694-4540-40b5-bee0-0b734a912e91' class='xr-var-data-in' type='checkbox'><label for='data-ebf88694-4540-40b5-bee0-0b734a912e91' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total absorption coefficient at 560 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0062</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>atot_665</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6ee7067-b101-423b-9f7e-d4584860ff3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6ee7067-b101-423b-9f7e-d4584860ff3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2fdb4c69-e04b-42f6-a8bb-35bc779c0d8b' class='xr-var-data-in' type='checkbox'><label for='data-2fdb4c69-e04b-42f6-a8bb-35bc779c0d8b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Total absorption coefficient at 665 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0062</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_412</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-53dea6e7-bd6a-46f3-be34-e7f78f08eb72' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-53dea6e7-bd6a-46f3-be34-e7f78f08eb72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b838b3b1-7574-4b55-b052-68be544c89b4' class='xr-var-data-in' type='checkbox'><label for='data-b838b3b1-7574-4b55-b052-68be544c89b4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Phytoplankton absorption coefficient at 412 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>aph_412_rmsd aph_412_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_443</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bac0fab6-43b4-45fc-aa51-967d5ccc3513' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bac0fab6-43b4-45fc-aa51-967d5ccc3513' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-288a7f0a-3179-4ba3-9292-cebc3e9b29f1' class='xr-var-data-in' type='checkbox'><label for='data-288a7f0a-3179-4ba3-9292-cebc3e9b29f1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Phytoplankton absorption coefficient at 443 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>aph_443_rmsd aph_443_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_490</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cb9f605a-90f2-4a85-9b82-b5dd1d02a329' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cb9f605a-90f2-4a85-9b82-b5dd1d02a329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a08964f0-15dc-481a-b2f4-5375ef03a37f' class='xr-var-data-in' type='checkbox'><label for='data-a08964f0-15dc-481a-b2f4-5375ef03a37f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Phytoplankton absorption coefficient at 490 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>aph_490_rmsd aph_490_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_510</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ce413924-3784-4728-86fb-2840cd947c24' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ce413924-3784-4728-86fb-2840cd947c24' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-566e1ca5-2343-4824-8a2f-90025dbdd783' class='xr-var-data-in' type='checkbox'><label for='data-566e1ca5-2343-4824-8a2f-90025dbdd783' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Phytoplankton absorption coefficient at 510 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>aph_510_rmsd aph_510_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_560</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-949ea3fe-a552-4721-8992-1f651ab8da57' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-949ea3fe-a552-4721-8992-1f651ab8da57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75aeef34-788f-4dec-b510-e643146c9f2a' class='xr-var-data-in' type='checkbox'><label for='data-75aeef34-788f-4dec-b510-e643146c9f2a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Phytoplankton absorption coefficient at 560 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>aph_560_rmsd aph_560_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_665</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6256cc7c-a349-41b7-b740-fc30e84e4200' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6256cc7c-a349-41b7-b740-fc30e84e4200' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-47504d79-f2ac-40b2-8176-e6ef5a8875f4' class='xr-var-data-in' type='checkbox'><label for='data-47504d79-f2ac-40b2-8176-e6ef5a8875f4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Phytoplankton absorption coefficient at 665 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>aph_665_rmsd aph_665_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_412</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-38af2ed3-f598-4add-b44f-5ffefdb9c7d3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-38af2ed3-f598-4add-b44f-5ffefdb9c7d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-848ca8c7-f26e-4f8c-bf29-f4972c3d6815' class='xr-var-data-in' type='checkbox'><label for='data-848ca8c7-f26e-4f8c-bf29-f4972c3d6815' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorption coefficient for dissolved and detrital material at 412 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>adg_412_rmsd adg_412_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_443</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-df0944ad-04f9-4cdd-ba69-a86f5a44725d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-df0944ad-04f9-4cdd-ba69-a86f5a44725d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8b50585-6af4-4b91-a3c9-d462e590c2da' class='xr-var-data-in' type='checkbox'><label for='data-e8b50585-6af4-4b91-a3c9-d462e590c2da' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorption coefficient for dissolved and detrital material at 443 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>adg_443_rmsd adg_443_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_490</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7bff46fa-86ea-47d0-955e-e76a25b87f67' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7bff46fa-86ea-47d0-955e-e76a25b87f67' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e7d22280-2de7-4158-9bb8-afba5d56ce5f' class='xr-var-data-in' type='checkbox'><label for='data-e7d22280-2de7-4158-9bb8-afba5d56ce5f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorption coefficient for dissolved and detrital material at 490 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>adg_490_rmsd adg_490_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_510</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e94765b1-bae4-42e8-9953-a31fe689175c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e94765b1-bae4-42e8-9953-a31fe689175c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-10d486a5-bf44-481b-aa53-df6beaaa6405' class='xr-var-data-in' type='checkbox'><label for='data-10d486a5-bf44-481b-aa53-df6beaaa6405' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorption coefficient for dissolved and detrital material at 510 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>adg_510_rmsd adg_510_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_560</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-8b2b3cb7-bced-4fe2-8e65-6758e4fce1db' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8b2b3cb7-bced-4fe2-8e65-6758e4fce1db' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a7360ba-c870-4783-93a9-a16a59351d52' class='xr-var-data-in' type='checkbox'><label for='data-6a7360ba-c870-4783-93a9-a16a59351d52' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorption coefficient for dissolved and detrital material at 560 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>adg_560_rmsd adg_560_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_665</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e1578bb6-960c-45c4-8da8-b5804af7c3b1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e1578bb6-960c-45c4-8da8-b5804af7c3b1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cb10ce1e-e9c2-4cb5-99d1-191fb5bd292c' class='xr-var-data-in' type='checkbox'><label for='data-cb10ce1e-e9c2-4cb5-99d1-191fb5bd292c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Absorption coefficient for dissolved and detrital material at 665 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>adg_665_rmsd adg_665_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0063</dd><dt><span>standard_name :</span></dt><dd>volume_absorption_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bbp_412</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3745a092-fd94-4007-acfe-2775f56a51c1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3745a092-fd94-4007-acfe-2775f56a51c1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c66bc63c-55aa-4cd3-b3e7-6be695e0293f' class='xr-var-data-in' type='checkbox'><label for='data-c66bc63c-55aa-4cd3-b3e7-6be695e0293f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particulate backscattering coefficient for dissolved and detrital material at 412 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.nerc.ac.uk/collection/P04/current/</dd><dt><span>standard_name :</span></dt><dd>volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bbp_443</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-874401a6-03f1-4210-a598-9b46b62fc9e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-874401a6-03f1-4210-a598-9b46b62fc9e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b145deed-3f19-41ce-a408-041e58bd7fcb' class='xr-var-data-in' type='checkbox'><label for='data-b145deed-3f19-41ce-a408-041e58bd7fcb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particulate backscattering coefficient for dissolved and detrital material at 443 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.nerc.ac.uk/collection/P04/current/</dd><dt><span>standard_name :</span></dt><dd>volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bbp_490</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-987aaba1-d327-4241-b105-bd08562808c8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-987aaba1-d327-4241-b105-bd08562808c8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6bae5e97-7787-45c5-989d-74b8690a7227' class='xr-var-data-in' type='checkbox'><label for='data-6bae5e97-7787-45c5-989d-74b8690a7227' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particulate backscattering coefficient for dissolved and detrital material at 490 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.nerc.ac.uk/collection/P04/current/</dd><dt><span>standard_name :</span></dt><dd>volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bbp_510</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-7230c7cb-3e65-435f-a82c-da0a3e67efab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7230c7cb-3e65-435f-a82c-da0a3e67efab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-70e44914-aa5e-4d4b-94d4-8d3980806065' class='xr-var-data-in' type='checkbox'><label for='data-70e44914-aa5e-4d4b-94d4-8d3980806065' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particulate backscattering coefficient for dissolved and detrital material at 510 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.nerc.ac.uk/collection/P04/current/</dd><dt><span>standard_name :</span></dt><dd>volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bbp_560</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a687d0d4-ea4d-4690-8c46-c23217c0cd90' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a687d0d4-ea4d-4690-8c46-c23217c0cd90' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bbfc106-8ad2-4340-a34f-6950b71fe462' class='xr-var-data-in' type='checkbox'><label for='data-1bbfc106-8ad2-4340-a34f-6950b71fe462' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particulate backscattering coefficient for dissolved and detrital material at 560 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.nerc.ac.uk/collection/P04/current/</dd><dt><span>standard_name :</span></dt><dd>volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bbp_665</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c2cd9859-3f5e-4a83-856b-28703909db05' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c2cd9859-3f5e-4a83-856b-28703909db05' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-123d8ef3-c67d-45c3-9cb1-5bbd7099cf06' class='xr-var-data-in' type='checkbox'><label for='data-123d8ef3-c67d-45c3-9cb1-5bbd7099cf06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Particulate backscattering coefficient for dissolved and detrital material at 665 nm as derived using the QAA model, generated by SeaDAS for MERIS</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.nerc.ac.uk/collection/P04/current/</dd><dt><span>standard_name :</span></dt><dd>volume_backwards_scattering_coefficient_of_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlor_a</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4e7c5308-8ad2-4557-ae50-ee0a900247e0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e7c5308-8ad2-4557-ae50-ee0a900247e0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e14a2f7a-5909-4108-8d24-71bc71f450ed' class='xr-var-data-in' type='checkbox'><label for='data-e14a2f7a-5909-4108-8d24-71bc71f450ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Chlorophyll-a concentration in seawater (not log-transformed), generated by as a blended combination of OCI, OCI2, OC2 and OCx algorithms, depending on water class memberships</dd><dt><span>units :</span></dt><dd>milligram m-3</dd><dt><span>ancillary_variables :</span></dt><dd>chlor_a_log10_rmsd chlor_a_log10_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P011/current/CHLTVOLU</dd><dt><span>standard_name :</span></dt><dd>mass_concentration_of_chlorophyll_a_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>mg m^-3</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kd_490</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-cd55c0a6-fdeb-44ed-a644-6d5c6a52cfa8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd55c0a6-fdeb-44ed-a644-6d5c6a52cfa8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-070cc827-947e-4472-96ff-da965dcff9ed' class='xr-var-data-in' type='checkbox'><label for='data-070cc827-947e-4472-96ff-da965dcff9ed' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Downwelling attenuation coefficient at 490nm, derived using Lee 2005 equation and bbw from Zhang 2009 (following the SeaDAS Kd_lee algorithm)</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>ancillary_variables :</span></dt><dd>kd_490_rmsd kd_490_bias</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>parameter_vocab_uri :</span></dt><dd>http://vocab.ndg.nerc.ac.uk/term/P071/19/CFSN0064</dd><dt><span>standard_name :</span></dt><dd>volume_attenuation_coefficient_of_downwelling_radiative_flux_in_sea_water</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_412_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ea04bdca-ff42-4f42-b2b1-01b0a9074031' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ea04bdca-ff42-4f42-b2b1-01b0a9074031' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a83f3e95-3b1b-4f31-a48c-93a55f4c6630' class='xr-var-data-in' type='checkbox'><label for='data-a83f3e95-3b1b-4f31-a48c-93a55f4c6630' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_443_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c6200df7-2727-485b-92fa-4d4b54cb9736' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c6200df7-2727-485b-92fa-4d4b54cb9736' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a73f2a9-ef80-458d-adf5-0918b36b4b07' class='xr-var-data-in' type='checkbox'><label for='data-9a73f2a9-ef80-458d-adf5-0918b36b4b07' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_490_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c49654eb-8892-4d9f-a225-60f9bc6ca84a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c49654eb-8892-4d9f-a225-60f9bc6ca84a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a7e40c33-bef7-4ba4-97c6-17366cadfa42' class='xr-var-data-in' type='checkbox'><label for='data-a7e40c33-bef7-4ba4-97c6-17366cadfa42' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_510_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3959893f-7755-4831-8ca8-e3927299d0f7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3959893f-7755-4831-8ca8-e3927299d0f7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-64ba8e24-402d-4104-8fd7-a035ac438bd0' class='xr-var-data-in' type='checkbox'><label for='data-64ba8e24-402d-4104-8fd7-a035ac438bd0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_560_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-644f063b-61c7-4447-9a39-d00d42a6e5d9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-644f063b-61c7-4447-9a39-d00d42a6e5d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a3ff34d7-8a1d-4abb-bb76-95cb6b96f7a7' class='xr-var-data-in' type='checkbox'><label for='data-a3ff34d7-8a1d-4abb-bb76-95cb6b96f7a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_665_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fd624149-0808-4786-8ac0-47e3ed96f5a9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fd624149-0808-4786-8ac0-47e3ed96f5a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07337432-3555-43bb-8dfb-fec1cd7d7907' class='xr-var-data-in' type='checkbox'><label for='data-07337432-3555-43bb-8dfb-fec1cd7d7907' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_412_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3b3dc2ae-4751-49e1-b7bc-fdd0dbb2b488' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b3dc2ae-4751-49e1-b7bc-fdd0dbb2b488' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c32dd13b-7fbd-42e8-a48d-12d8396dbd0d' class='xr-var-data-in' type='checkbox'><label for='data-c32dd13b-7fbd-42e8-a48d-12d8396dbd0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 412 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_443_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0f988eab-d49f-4149-95c8-b1d12e5836e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f988eab-d49f-4149-95c8-b1d12e5836e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d61531d-4311-4a71-a7e9-b53c53ed0a83' class='xr-var-data-in' type='checkbox'><label for='data-9d61531d-4311-4a71-a7e9-b53c53ed0a83' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 443 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_490_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4574fa9c-1ff2-4fd4-bb9c-8c4f85dee33f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4574fa9c-1ff2-4fd4-bb9c-8c4f85dee33f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-75e4104f-006f-4463-a2e5-c1f3e26e9bae' class='xr-var-data-in' type='checkbox'><label for='data-75e4104f-006f-4463-a2e5-c1f3e26e9bae' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 490 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_510_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-06433379-6638-466e-9dcd-2a97ac3def89' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-06433379-6638-466e-9dcd-2a97ac3def89' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-594fdc8b-bb45-4f84-a748-438b84339489' class='xr-var-data-in' type='checkbox'><label for='data-594fdc8b-bb45-4f84-a748-438b84339489' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 510 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_560_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e7a92176-76dc-4368-af3d-4cdc427f3de4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e7a92176-76dc-4368-af3d-4cdc427f3de4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-34e488a4-4826-4336-83ff-59a4d7210b49' class='xr-var-data-in' type='checkbox'><label for='data-34e488a4-4826-4336-83ff-59a4d7210b49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 560 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Rrs_665_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e0d0cdcb-1bb5-4e90-8f62-8c44755b60b9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e0d0cdcb-1bb5-4e90-8f62-8c44755b60b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9b0d0077-a899-4d5d-9325-496a0978e8e5' class='xr-var-data-in' type='checkbox'><label for='data-9b0d0077-a899-4d5d-9325-496a0978e8e5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of sea surface reflectance defined as the ratio of water-leaving radiance to surface irradiance at 665 nm.</dd><dt><span>units :</span></dt><dd>sr-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/rrs/cci_Rrs_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>sr^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlor_a_log10_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f881ef50-6114-4b13-90da-15f8659958da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f881ef50-6114-4b13-90da-15f8659958da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8857d72d-44fd-4209-a0fe-2c1604155203' class='xr-var-data-in' type='checkbox'><label for='data-8857d72d-44fd-4209-a0fe-2c1604155203' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/chlor_a/cci_chla_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of log10-transformed chlorophyll-a concentration in seawater.</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chlor_a_log10_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-9e37cf55-66dd-49d6-a573-75e446961e1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e37cf55-66dd-49d6-a573-75e446961e1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e07a0627-d081-4107-af52-ef38bbf7265e' class='xr-var-data-in' type='checkbox'><label for='data-e07a0627-d081-4107-af52-ef38bbf7265e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of log10-transformed chlorophyll-a concentration in seawater.</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/chlor_a/cci_chla_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_412_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-41a157a4-5d3e-4166-9eba-e2cf33a49d0e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-41a157a4-5d3e-4166-9eba-e2cf33a49d0e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9e16432e-b8db-4211-8f76-2728fc3e8085' class='xr-var-data-in' type='checkbox'><label for='data-9e16432e-b8db-4211-8f76-2728fc3e8085' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of phytoplankton absorption coefficient at 412 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_443_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f19d65c1-e8c6-4c9e-bafe-7f1152f01eb1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f19d65c1-e8c6-4c9e-bafe-7f1152f01eb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a767b24a-6885-4b96-a171-121ae60173d9' class='xr-var-data-in' type='checkbox'><label for='data-a767b24a-6885-4b96-a171-121ae60173d9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of phytoplankton absorption coefficient at 443 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_490_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-eee9c716-e783-4d12-8e31-798ac3417b96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eee9c716-e783-4d12-8e31-798ac3417b96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c9a83f5c-1ac9-4371-bbb2-a576e93e2c8c' class='xr-var-data-in' type='checkbox'><label for='data-c9a83f5c-1ac9-4371-bbb2-a576e93e2c8c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of phytoplankton absorption coefficient at 490 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_510_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0d172b9a-ad9a-4340-9538-e5a23a6b1b74' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0d172b9a-ad9a-4340-9538-e5a23a6b1b74' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2193926-2f6b-4601-a82f-1620282b42cd' class='xr-var-data-in' type='checkbox'><label for='data-d2193926-2f6b-4601-a82f-1620282b42cd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of phytoplankton absorption coefficient at 510 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_560_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-b8781373-257c-44a8-8e7e-59f87f19a168' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b8781373-257c-44a8-8e7e-59f87f19a168' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fd43c5d5-0369-4f5c-98a9-91d8ce097ddf' class='xr-var-data-in' type='checkbox'><label for='data-fd43c5d5-0369-4f5c-98a9-91d8ce097ddf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of phytoplankton absorption coefficient at 560 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_665_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ba258477-ed3a-411a-8225-2425116ddfd7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba258477-ed3a-411a-8225-2425116ddfd7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d6d563d-bd3f-4f4e-a46a-5d5d45e965e9' class='xr-var-data-in' type='checkbox'><label for='data-4d6d563d-bd3f-4f4e-a46a-5d5d45e965e9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of phytoplankton absorption coefficient at 665 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_412_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5c54e840-35bd-4913-9077-8bd11504ae20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5c54e840-35bd-4913-9077-8bd11504ae20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-514f7c31-051f-46c8-8e8d-140295a6af2d' class='xr-var-data-in' type='checkbox'><label for='data-514f7c31-051f-46c8-8e8d-140295a6af2d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of phytoplankton absorption coefficient at 412 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_443_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ded3c27c-52c6-4866-9833-433988f885a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ded3c27c-52c6-4866-9833-433988f885a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cd7522a3-4423-4b63-9e9a-c273313de49c' class='xr-var-data-in' type='checkbox'><label for='data-cd7522a3-4423-4b63-9e9a-c273313de49c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of phytoplankton absorption coefficient at 443 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_490_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-e4cee359-d242-44cd-b9dd-dc34e708061f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e4cee359-d242-44cd-b9dd-dc34e708061f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ead413b6-c899-4de4-8c26-da6729462567' class='xr-var-data-in' type='checkbox'><label for='data-ead413b6-c899-4de4-8c26-da6729462567' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of phytoplankton absorption coefficient at 490 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_510_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c62f40a3-918a-4118-8de9-568693237f79' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c62f40a3-918a-4118-8de9-568693237f79' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca625d07-1a59-455e-b9ef-7661f402d6e1' class='xr-var-data-in' type='checkbox'><label for='data-ca625d07-1a59-455e-b9ef-7661f402d6e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of phytoplankton absorption coefficient at 510 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_560_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-2b2882cb-090a-43de-8c32-6f5476bf299a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2b2882cb-090a-43de-8c32-6f5476bf299a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-854a3545-6296-4acd-82cc-6c142838b820' class='xr-var-data-in' type='checkbox'><label for='data-854a3545-6296-4acd-82cc-6c142838b820' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of phytoplankton absorption coefficient at 560 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>aph_665_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-efc067bb-3a4b-4ba4-9df2-fe43e36c9761' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efc067bb-3a4b-4ba4-9df2-fe43e36c9761' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c17e6d74-a930-4f4e-8251-661b5dc73f86' class='xr-var-data-in' type='checkbox'><label for='data-c17e6d74-a930-4f4e-8251-661b5dc73f86' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of phytoplankton absorption coefficient at 665 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/aph/cci_iop_aph_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_412_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-bd2ab78b-d398-4707-b4b1-6da5d1fbd000' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bd2ab78b-d398-4707-b4b1-6da5d1fbd000' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7608c391-9ebb-4201-9776-85ac1c8753c1' class='xr-var-data-in' type='checkbox'><label for='data-7608c391-9ebb-4201-9776-85ac1c8753c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 412 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_443_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-d9d48053-c8b8-47d4-9047-8aa5a4700c7c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d9d48053-c8b8-47d4-9047-8aa5a4700c7c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-275cbf2a-8de5-4509-ba44-81557f54411f' class='xr-var-data-in' type='checkbox'><label for='data-275cbf2a-8de5-4509-ba44-81557f54411f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 443 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_490_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-5f955970-24f1-4e7b-8a29-119a50ff3ff0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5f955970-24f1-4e7b-8a29-119a50ff3ff0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90adf23d-12fa-41bf-9b93-69da67f27b64' class='xr-var-data-in' type='checkbox'><label for='data-90adf23d-12fa-41bf-9b93-69da67f27b64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 490 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_510_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-c83443d5-ed82-4a05-ac02-e2efd75e141b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c83443d5-ed82-4a05-ac02-e2efd75e141b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f27cb6de-f0b7-42df-965c-4bbebc635f38' class='xr-var-data-in' type='checkbox'><label for='data-f27cb6de-f0b7-42df-965c-4bbebc635f38' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 510 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_560_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-1fdae1c1-6ec5-4955-b22b-ed1e4a3bd1f3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1fdae1c1-6ec5-4955-b22b-ed1e4a3bd1f3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e8cce1ed-cdff-40b3-8805-3fb855669993' class='xr-var-data-in' type='checkbox'><label for='data-e8cce1ed-cdff-40b3-8805-3fb855669993' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 560 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_665_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-4f6503b2-632b-46fb-9e99-ae6cda40bfc1' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f6503b2-632b-46fb-9e99-ae6cda40bfc1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0759afee-9ea7-40f1-b2c8-465cc648683d' class='xr-var-data-in' type='checkbox'><label for='data-0759afee-9ea7-40f1-b2c8-465cc648683d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of absorption coefficient for dissolved and detrital material at 665 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_412_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-56a9ea0c-9f38-44ad-929c-b0ceebf17f54' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-56a9ea0c-9f38-44ad-929c-b0ceebf17f54' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a289371a-84bf-4276-bddb-b9b8db9d651f' class='xr-var-data-in' type='checkbox'><label for='data-a289371a-84bf-4276-bddb-b9b8db9d651f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of absorption coefficient for dissolved and detrital material at 412 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>412</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_443_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-6d006180-a216-4ac5-99c6-c264063fae6d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6d006180-a216-4ac5-99c6-c264063fae6d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2aa0cdd-f84b-4d05-868f-6b6122af9c4d' class='xr-var-data-in' type='checkbox'><label for='data-d2aa0cdd-f84b-4d05-868f-6b6122af9c4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of absorption coefficient for dissolved and detrital material at 443 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>443</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_490_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-a2341bc9-280d-4f12-a8fe-64bbca436f1e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a2341bc9-280d-4f12-a8fe-64bbca436f1e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2812a36-a260-4fcc-aafe-159e6d3ca99a' class='xr-var-data-in' type='checkbox'><label for='data-d2812a36-a260-4fcc-aafe-159e6d3ca99a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of absorption coefficient for dissolved and detrital material at 490 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_510_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-ad00f80e-f0f5-4342-ae3d-0480bde5b236' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ad00f80e-f0f5-4342-ae3d-0480bde5b236' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1b4f98c0-c5e5-4b42-8fcf-8d104b18fee4' class='xr-var-data-in' type='checkbox'><label for='data-1b4f98c0-c5e5-4b42-8fcf-8d104b18fee4' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of absorption coefficient for dissolved and detrital material at 510 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>510</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_560_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-fedf1392-07e0-4444-8d0b-0d6e41cc49e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fedf1392-07e0-4444-8d0b-0d6e41cc49e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5f70af3-cec7-4f34-afe3-62fc35550705' class='xr-var-data-in' type='checkbox'><label for='data-b5f70af3-cec7-4f34-afe3-62fc35550705' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of absorption coefficient for dissolved and detrital material at 560 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>560</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adg_665_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-3e216979-39fa-4fbb-85cd-d14ab462c77b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3e216979-39fa-4fbb-85cd-d14ab462c77b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-77a306c7-8ee2-491d-b455-ed1bd2305509' class='xr-var-data-in' type='checkbox'><label for='data-77a306c7-8ee2-491d-b455-ed1bd2305509' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of absorption coefficient for dissolved and detrital material at 665 nm.</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/adg/cci_iop_adg_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.uncertweb.org</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>665</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kd_490_rmsd</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-f4e864ff-06c8-4097-9718-1882847d1362' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f4e864ff-06c8-4097-9718-1882847d1362' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1fccff69-c09e-4709-a0ed-724c61f8718e' class='xr-var-data-in' type='checkbox'><label for='data-1fccff69-c09e-4709-a0ed-724c61f8718e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Root-mean-square-difference of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/kd/cci_kd_rmsd.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>kd_490_bias</span></div><div class='xr-var-dims'>(time, lat, lon)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>...</div><input id='attrs-0eb0e687-288b-40da-8cc2-6339812678ff' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0eb0e687-288b-40da-8cc2-6339812678ff' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-06d4b15e-1152-4707-b41c-47aeceff6a1d' class='xr-var-data-in' type='checkbox'><label for='data-06d4b15e-1152-4707-b41c-47aeceff6a1d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Bias of downwelling attenuation coefficient at 490 nm derived using Lee 2005 equation and bbw from Zhang 2009</dd><dt><span>units :</span></dt><dd>m-1</dd><dt><span>comment :</span></dt><dd>Uncertainty lookups derived from file: /data/datasets/CCI/v5.0-production/stage09b-uncertainty_tables/kd/cci_kd_bias.dat</dd><dt><span>grid_mapping :</span></dt><dd>crs</dd><dt><span>ref :</span></dt><dd>http://www.esa-oceancolour-cci.org/?q=webfm_send/581</dd><dt><span>rel :</span></dt><dd>uncertainty</dd><dt><span>units_nonstandard :</span></dt><dd>m^-1</dd><dt><span>wavelength :</span></dt><dd>490</dd><dt><span>_ChunkSizes :</span></dt><dd>[  1 270 270]</dd></dl></div><div class='xr-var-data'><pre>[497664 values with dtype=float32]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d3825513-f3f4-4f49-a9e5-da222370337e' class='xr-section-summary-in' type='checkbox'  ><label for='section-d3825513-f3f4-4f49-a9e5-da222370337e' class='xr-section-summary' >Attributes: <span>(48)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd><dt><span>start_date :</span></dt><dd>29-JUN-2020 00:00:00.000000</dd><dt><span>stop_date :</span></dt><dd>29-JUN-2020 23:59:00.000000</dd><dt><span>Metadata_Conventions :</span></dt><dd>Unidata Dataset Discovery v1.0</dd><dt><span>cdm_data_type :</span></dt><dd>Grid</dd><dt><span>comment :</span></dt><dd>See summary attribute</dd><dt><span>creation_date :</span></dt><dd>20200923T160546Z</dd><dt><span>creator_email :</span></dt><dd>help@esa-oceancolour-cci.org</dd><dt><span>creator_name :</span></dt><dd>Plymouth Marine Laboratory</dd><dt><span>creator_url :</span></dt><dd>http://esa-oceancolour-cci.org</dd><dt><span>date_created :</span></dt><dd>20200923T160546Z</dd><dt><span>geospatial_lat_max :</span></dt><dd>90.0</dd><dt><span>geospatial_lat_min :</span></dt><dd>-90.0</dd><dt><span>geospatial_lat_resolution :</span></dt><dd>.04166666666666666666</dd><dt><span>geospatial_lat_units :</span></dt><dd>decimal degrees north</dd><dt><span>geospatial_lon_max :</span></dt><dd>180.0</dd><dt><span>geospatial_lon_min :</span></dt><dd>-180.0</dd><dt><span>geospatial_lon_resolution :</span></dt><dd>.04166666666666666666</dd><dt><span>geospatial_lon_units :</span></dt><dd>decimal degrees east</dd><dt><span>geospatial_vertical_max :</span></dt><dd>0.0</dd><dt><span>geospatial_vertical_min :</span></dt><dd>0.0</dd><dt><span>history :</span></dt><dd>Source data were: NASA OBPG SeaWiFS level1 R2018.0 LAC and GAC [A/C via l2gen], NASA OBPG VIIRS L1 R2018.0  [A/C via polymer], NASA OBPG MODIS Aqua L1 R2018.0 (A/C via polymer), ESA MERIS L1B (3rd reprocessing inc OCL correction) [Polymer v4.12]  and OLCI L1B [Polymer v4.12]; Derived products were mainly produced with functions validated from the current NASA SeaDAS release and some custom implementations.  Uncertainty generation determined by the fuzzy classifier scheme of Tim Moore (2009) as updated by Jackson et al. (2017) and Jackson et al. (in prep).</dd><dt><span>id :</span></dt><dd>ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DAILY_4km_GEO_PML_OCx_QAA-20200629-fv5.0.nc</dd><dt><span>institution :</span></dt><dd>Plymouth Marine Laboratory</dd><dt><span>keywords :</span></dt><dd>satellite,observation,ocean,ocean colour</dd><dt><span>keywords_vocabulary :</span></dt><dd>none</dd><dt><span>license :</span></dt><dd>ESA CCI Data Policy: free and open access.  When referencing, please use: Ocean Colour Climate Change Initiative dataset, Version &lt;Version Number&gt;, European Space Agency, available online at http://www.esa-oceancolour-cci.org.  We would also appreciate being notified of publications so that we can list them on the project website at http://www.esa-oceancolour-cci.org/?q=publications</dd><dt><span>naming_authority :</span></dt><dd>uk.ac.pml</dd><dt><span>number_of_optical_water_types :</span></dt><dd>14</dd><dt><span>platform :</span></dt><dd>Orbview-2,Aqua,Envisat,Suomi-NPP, Sentinel-3a</dd><dt><span>processing_level :</span></dt><dd>Level-3</dd><dt><span>product_version :</span></dt><dd>5.0</dd><dt><span>project :</span></dt><dd>Climate Change Initiative - European Space Agency</dd><dt><span>references :</span></dt><dd>http://www.esa-oceancolour-cci.org/</dd><dt><span>sensor :</span></dt><dd>SeaWiFS,MODIS,MERIS,VIIRS,OLCI</dd><dt><span>sensors_present :</span></dt><dd> MODISA OLCIa VIIRSN</dd><dt><span>source :</span></dt><dd>NASA SeaWiFS  L1A and L2 R2018.0 LAC and GAC, MODIS-Aqua L1A and L2 R2018.0, MERIS L1B 3rd reprocessing inc OCL corrections, NASA VIIRS L1A and L2 R2018.0, OLCI L1B</dd><dt><span>spatial_resolution :</span></dt><dd>4km nominal at equator</dd><dt><span>standard_name_vocabulary :</span></dt><dd>NetCDF Climate and Forecast (CF) Metadata Conventions Version 1.7</dd><dt><span>summary :</span></dt><dd>Data products generated by the Ocean Colour component of the European Space Agency Climate Change Initiative project. These files are daily composites of merged sensor (MERIS, MODIS Aqua, SeaWiFS LAC &amp; GAC, VIIRS, OLCI) products.  MODIS Aqua and SeaWiFS were band-shifted and bias-corrected to MERIS bands and values using a temporally and spatially varying scheme based on the overlap years of 2003-2007.  VIIRS was band-shifted and bias-corrected in a second stage against the MODIS Rrs that had already been corrected to MERIS levels, for the overlap period 2012-2013; and at the third stage OLCI was bias corrected against already corrected MODIS, for overlap period 2016-07-01 to 2019-06-30.  VIIRS, MODIS, SeaWiFS and MERIS Rrs were derived from a combination of NASA&#x27;s l2gen (for basic sensor geometry corrections, etc) and HYGEOS Polymer v4.12 (for atmospheric correction). OLCI Rrs were sourced at L1b (already geometrically corrected) and processed with polymer.  The Rrs were binned to a sinusoidal 4km level-3 grid, and later to 4km geographic projection, by Brockmann Consult&#x27;s SNAP.  Derived products were generally computed with the standard algorithmsthrough SeaDAS.  QAA IOPs were derived using the standard SeaDAS algorithm but with a modified backscattering table to match that used in the bandshifting.  The final chlorophyll is a combination of OCI, OCI2, OC2 and OCx, depending on the water class memberships.  Uncertainty estimates were added using the fuzzy water classifier and uncertainty estimation algorithm of Tim Moore as documented in Jackson et al (2017). and updated accorsing to Jackson et al. (in prep).</dd><dt><span>time_coverage_duration :</span></dt><dd>P1D</dd><dt><span>time_coverage_end :</span></dt><dd>202006292359Z</dd><dt><span>time_coverage_resolution :</span></dt><dd>P1D</dd><dt><span>time_coverage_start :</span></dt><dd>202006290000Z</dd><dt><span>title :</span></dt><dd>ESA CCI Ocean Colour Product</dd><dt><span>tracking_id :</span></dt><dd>247f8353-66fa-490d-bf6f-7e13f80a16c1</dd><dt><span>git_commit_hash :</span></dt><dd>21493907964393c04f01a5908ab41f8083b98a61</dd><dt><span>number_of_bands_used_to_classify :</span></dt><dd>4</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:             (lat: 48, lon: 432, time: 24)\n",
       "Coordinates:\n",
       "  * lat                 (lat) float64 71.98 71.94 71.9 ... 70.1 70.06 70.02\n",
       "  * lon                 (lon) float64 -168.0 -167.9 -167.9 ... -150.1 -150.0\n",
       "  * time                (time) datetime64[ns] 2017-07-28 ... 2017-08-20\n",
       "Data variables:\n",
       "    crs                 (time) int32 ...\n",
       "    MODISA_nobs         (time, lat, lon) float32 ...\n",
       "    VIIRS_nobs          (time, lat, lon) float32 ...\n",
       "    OLCI_nobs           (time, lat, lon) float32 ...\n",
       "    MERIS_nobs          (time, lat, lon) float32 ...\n",
       "    SeaWiFS_nobs        (time, lat, lon) float32 ...\n",
       "    total_nobs          (time, lat, lon) float32 ...\n",
       "    Rrs_412             (time, lat, lon) float32 ...\n",
       "    Rrs_443             (time, lat, lon) float32 ...\n",
       "    Rrs_490             (time, lat, lon) float32 ...\n",
       "    Rrs_510             (time, lat, lon) float32 ...\n",
       "    Rrs_560             (time, lat, lon) float32 ...\n",
       "    Rrs_665             (time, lat, lon) float32 ...\n",
       "    water_class1        (time, lat, lon) float32 ...\n",
       "    water_class2        (time, lat, lon) float32 ...\n",
       "    water_class3        (time, lat, lon) float32 ...\n",
       "    water_class4        (time, lat, lon) float32 ...\n",
       "    water_class5        (time, lat, lon) float32 ...\n",
       "    water_class6        (time, lat, lon) float32 ...\n",
       "    water_class7        (time, lat, lon) float32 ...\n",
       "    water_class8        (time, lat, lon) float32 ...\n",
       "    water_class9        (time, lat, lon) float32 ...\n",
       "    water_class10       (time, lat, lon) float32 ...\n",
       "    water_class11       (time, lat, lon) float32 ...\n",
       "    water_class12       (time, lat, lon) float32 ...\n",
       "    water_class13       (time, lat, lon) float32 ...\n",
       "    water_class14       (time, lat, lon) float32 ...\n",
       "    atot_412            (time, lat, lon) float32 ...\n",
       "    atot_443            (time, lat, lon) float32 ...\n",
       "    atot_490            (time, lat, lon) float32 ...\n",
       "    atot_510            (time, lat, lon) float32 ...\n",
       "    atot_560            (time, lat, lon) float32 ...\n",
       "    atot_665            (time, lat, lon) float32 ...\n",
       "    aph_412             (time, lat, lon) float32 ...\n",
       "    aph_443             (time, lat, lon) float32 ...\n",
       "    aph_490             (time, lat, lon) float32 ...\n",
       "    aph_510             (time, lat, lon) float32 ...\n",
       "    aph_560             (time, lat, lon) float32 ...\n",
       "    aph_665             (time, lat, lon) float32 ...\n",
       "    adg_412             (time, lat, lon) float32 ...\n",
       "    adg_443             (time, lat, lon) float32 ...\n",
       "    adg_490             (time, lat, lon) float32 ...\n",
       "    adg_510             (time, lat, lon) float32 ...\n",
       "    adg_560             (time, lat, lon) float32 ...\n",
       "    adg_665             (time, lat, lon) float32 ...\n",
       "    bbp_412             (time, lat, lon) float32 ...\n",
       "    bbp_443             (time, lat, lon) float32 ...\n",
       "    bbp_490             (time, lat, lon) float32 ...\n",
       "    bbp_510             (time, lat, lon) float32 ...\n",
       "    bbp_560             (time, lat, lon) float32 ...\n",
       "    bbp_665             (time, lat, lon) float32 ...\n",
       "    chlor_a             (time, lat, lon) float32 ...\n",
       "    kd_490              (time, lat, lon) float32 ...\n",
       "    Rrs_412_rmsd        (time, lat, lon) float32 ...\n",
       "    Rrs_443_rmsd        (time, lat, lon) float32 ...\n",
       "    Rrs_490_rmsd        (time, lat, lon) float32 ...\n",
       "    Rrs_510_rmsd        (time, lat, lon) float32 ...\n",
       "    Rrs_560_rmsd        (time, lat, lon) float32 ...\n",
       "    Rrs_665_rmsd        (time, lat, lon) float32 ...\n",
       "    Rrs_412_bias        (time, lat, lon) float32 ...\n",
       "    Rrs_443_bias        (time, lat, lon) float32 ...\n",
       "    Rrs_490_bias        (time, lat, lon) float32 ...\n",
       "    Rrs_510_bias        (time, lat, lon) float32 ...\n",
       "    Rrs_560_bias        (time, lat, lon) float32 ...\n",
       "    Rrs_665_bias        (time, lat, lon) float32 ...\n",
       "    chlor_a_log10_rmsd  (time, lat, lon) float32 ...\n",
       "    chlor_a_log10_bias  (time, lat, lon) float32 ...\n",
       "    aph_412_rmsd        (time, lat, lon) float32 ...\n",
       "    aph_443_rmsd        (time, lat, lon) float32 ...\n",
       "    aph_490_rmsd        (time, lat, lon) float32 ...\n",
       "    aph_510_rmsd        (time, lat, lon) float32 ...\n",
       "    aph_560_rmsd        (time, lat, lon) float32 ...\n",
       "    aph_665_rmsd        (time, lat, lon) float32 ...\n",
       "    aph_412_bias        (time, lat, lon) float32 ...\n",
       "    aph_443_bias        (time, lat, lon) float32 ...\n",
       "    aph_490_bias        (time, lat, lon) float32 ...\n",
       "    aph_510_bias        (time, lat, lon) float32 ...\n",
       "    aph_560_bias        (time, lat, lon) float32 ...\n",
       "    aph_665_bias        (time, lat, lon) float32 ...\n",
       "    adg_412_rmsd        (time, lat, lon) float32 ...\n",
       "    adg_443_rmsd        (time, lat, lon) float32 ...\n",
       "    adg_490_rmsd        (time, lat, lon) float32 ...\n",
       "    adg_510_rmsd        (time, lat, lon) float32 ...\n",
       "    adg_560_rmsd        (time, lat, lon) float32 ...\n",
       "    adg_665_rmsd        (time, lat, lon) float32 ...\n",
       "    adg_412_bias        (time, lat, lon) float32 ...\n",
       "    adg_443_bias        (time, lat, lon) float32 ...\n",
       "    adg_490_bias        (time, lat, lon) float32 ...\n",
       "    adg_510_bias        (time, lat, lon) float32 ...\n",
       "    adg_560_bias        (time, lat, lon) float32 ...\n",
       "    adg_665_bias        (time, lat, lon) float32 ...\n",
       "    kd_490_rmsd         (time, lat, lon) float32 ...\n",
       "    kd_490_bias         (time, lat, lon) float32 ...\n",
       "Attributes:\n",
       "    Conventions:                       CF-1.7\n",
       "    start_date:                        29-JUN-2020 00:00:00.000000\n",
       "    stop_date:                         29-JUN-2020 23:59:00.000000\n",
       "    Metadata_Conventions:              Unidata Dataset Discovery v1.0\n",
       "    cdm_data_type:                     Grid\n",
       "    comment:                           See summary attribute\n",
       "    creation_date:                     20200923T160546Z\n",
       "    creator_email:                     help@esa-oceancolour-cci.org\n",
       "    creator_name:                      Plymouth Marine Laboratory\n",
       "    creator_url:                       http://esa-oceancolour-cci.org\n",
       "    date_created:                      20200923T160546Z\n",
       "    geospatial_lat_max:                90.0\n",
       "    geospatial_lat_min:                -90.0\n",
       "    geospatial_lat_resolution:         .04166666666666666666\n",
       "    geospatial_lat_units:              decimal degrees north\n",
       "    geospatial_lon_max:                180.0\n",
       "    geospatial_lon_min:                -180.0\n",
       "    geospatial_lon_resolution:         .04166666666666666666\n",
       "    geospatial_lon_units:              decimal degrees east\n",
       "    geospatial_vertical_max:           0.0\n",
       "    geospatial_vertical_min:           0.0\n",
       "    history:                           Source data were: NASA OBPG SeaWiFS le...\n",
       "    id:                                ESACCI-OC-L3S-OC_PRODUCTS-MERGED-1D_DA...\n",
       "    institution:                       Plymouth Marine Laboratory\n",
       "    keywords:                          satellite,observation,ocean,ocean colour\n",
       "    keywords_vocabulary:               none\n",
       "    license:                           ESA CCI Data Policy: free and open acc...\n",
       "    naming_authority:                  uk.ac.pml\n",
       "    number_of_optical_water_types:     14\n",
       "    platform:                          Orbview-2,Aqua,Envisat,Suomi-NPP, Sent...\n",
       "    processing_level:                  Level-3\n",
       "    product_version:                   5.0\n",
       "    project:                           Climate Change Initiative - European S...\n",
       "    references:                        http://www.esa-oceancolour-cci.org/\n",
       "    sensor:                            SeaWiFS,MODIS,MERIS,VIIRS,OLCI\n",
       "    sensors_present:                    MODISA OLCIa VIIRSN\n",
       "    source:                            NASA SeaWiFS  L1A and L2 R2018.0 LAC a...\n",
       "    spatial_resolution:                4km nominal at equator\n",
       "    standard_name_vocabulary:          NetCDF Climate and Forecast (CF) Metad...\n",
       "    summary:                           Data products generated by the Ocean C...\n",
       "    time_coverage_duration:            P1D\n",
       "    time_coverage_end:                 202006292359Z\n",
       "    time_coverage_resolution:          P1D\n",
       "    time_coverage_start:               202006290000Z\n",
       "    title:                             ESA CCI Ocean Colour Product\n",
       "    tracking_id:                       247f8353-66fa-490d-bf6f-7e13f80a16c1\n",
       "    git_commit_hash:                   21493907964393c04f01a5908ab41f8083b98a61\n",
       "    number_of_bands_used_to_classify:  4"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "url = 'https://rsg.pml.ac.uk/thredds/dodsC/CCI_ALL-v4.1-DAILY'\n",
    "url = 'https://rsg.pml.ac.uk/thredds/dodsC/CCI_ALL-v5.0-MONTHLY'\n",
    "url = 'https://rsg.pml.ac.uk/thredds/dodsC/CCI_ALL-v5.0-DAILY'\n",
    "\n",
    "data = xr.open_dataset(url).sel(lat=slice(72,70), lon=slice(-168,-150), time=slice('07-28-2017', '08-20-2017'))\n",
    "\n",
    "print(data.nbytes/10**6)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# how much data is there in your region?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/beaird/anaconda3/envs/fm2020/lib/python3.8/site-packages/xarray/core/nanops.py:142: RuntimeWarning: Mean of empty slice\n",
      "  return np.nanmean(a, axis=axis, dtype=dtype)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x7fef86f1d8b0>]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.total_nobs.mean(dim=('lat','lon')).plot(marker='o')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# What are the details of the chl data?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'chlor_a' (time: 24, lat: 48, lon: 432)>\n",
       "[497664 values with dtype=float32]\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 71.979164 71.9375 71.895836 ... 70.0625 70.020836\n",
       "  * lon      (lon) float32 -167.97917 -167.9375 ... -150.0625 -150.02083\n",
       "  * time     (time) datetime64[ns] 2017-07-28 2017-07-29 ... 2017-08-20\n",
       "Attributes:\n",
       "    long_name:            Chlorophyll-a concentration in seawater (not log-tr...\n",
       "    units:                milligram m-3\n",
       "    ancillary_variables:  chlor_a_log10_rmsd chlor_a_log10_bias\n",
       "    grid_mapping:         crs\n",
       "    parameter_vocab_uri:  http://vocab.ndg.nerc.ac.uk/term/P011/current/CHLTVOLU\n",
       "    standard_name:        mass_concentration_of_chlorophyll_a_in_sea_water\n",
       "    units_nonstandard:    mg m^-3\n",
       "    _ChunkSizes:          [  1 270 270]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.chlor_a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x7fefa4e9ec40>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.chlor_a.sel(time='2017-07-28', method='nearest').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.Mercator())\n",
    "\n",
    "data.chlor_a.sel(time='2017-07-28').plot( vmin=0, vmax=4,transform=ccrs.PlateCarree())\n",
    "\n",
    "ax.coastlines('10m')\n",
    "gl = ax.gridlines(draw_labels=True, )\n",
    "gl.xlabels_top = False\n",
    "gl.ylabels_right = False\n",
    "ax.set_extent([-162, -153, 70.8, 72.3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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d2l+b25GZzZdTkvit3zK4AJKRrTFQAB+A8lPcB/zT2FrbT83sXjObI5d3eAPwJ1xaw2GxLo7AhX9HLMJNmRwd23ckpb8wAJjZUrnabbfhNBTfBQ70qRoAZ+LWBafitBcnAd8v0d8T/u8wHlfy5iFcYBNmNp/YdLCkRcDXkTcaaH+yiPpKgm86TvpmJVx6ErgZhhYhqeT32Mx+m7L7TuBV8hXvZwB/wd1Ep/VxF65o8yq4df7RktYxs0GJsVxgZr/0j4cAf8cVNxZwmJm9mNL3p7jfpej5dNzNaDGmSPozLuo25+VWkq4h68C/eiAQCHQEknbd7PCNJuw4cquybf9y+BjmvPt5u7qOkn6Eu1kbj1sb2wUYZWb3t6DPi/zDwbhp2kf88/2B58ysUZCMpFfMbGu5+opb+n1vmtnmybaJ87bFeXgHAu+Y2f6J46+Z2VD/+HHgBjMb48+71sx2SOlzO1we8ca4G9UqYIGZpd40SLozZbdZBepBwWMMBAJdEjNaJfjGT+0/B3TD/ab+1cwuSrTphvNutsJFKP/QzD4sPja7T07ZaRucYTzHe0zNxucUIpckP9TPYiDpYpwXmMZSST3wsQyS1ifmfSWRNBqXi/xf3Fr7ZVa+EPKa5uXozOwlf700bsDNHv0F2Bo3MzSoSNvmRuECwTAGAoEuSiQJ1wosAfbwaTg1wPOSxiSmA48DvjSzDSQdhlOF+WGyI0kbmdkUSUP9rhn+/zUlrWmuQkRLWQcXDR6xFBdtmsZFuJzetSXdC+xIY9GKOP8Dti+xDh8xUNIjOKPfX9IK5pL2oURAjZm9L6nKnOTlnZKaFeRTjmAYA4FAl8SJiLc8KtVHNEepQDV+S65RfQ+n4gQuDuCGRDR0xEhcPcHfpA4lIYPYTO4BXpL0N9/n9ymyVmdmT0l6DSfJKOC0UkbPzH4fPZb0azM7r0jTZCR2xp+zGi44L42FcjKOb/i1/E+AFYuNpSUEwxgIBLoklXqMZiDpRJzBirjFzG6JnvjUgVeBDYAbzSyphbsWLh0KM6uXNA+XH1tgZMwsusYwczKEOfyUbYsxs195oY+d/a5jzOz1xLWGJk77xP+/jg+meS3R/neJ9gKOkNTTX/PUxPF/4/J6k2IehkvlSuMI3Lriz3D5lWvjAnxanU5lGAcMGGDTplUUTRsIBLo208xsQEs6aMoaozeCt5Q43gBsIWkl4G+SNjWzuKZo2oVKRT7+H07yrNy+5rIC8JWZ3Smpr6T1zOx/seORx9odt54XVbLYDGfUdkr0dxAu/elJ8q/1MNzNQhq/w03RJiNE9/J9n5w8IZZqsYgKqmX4v8WRNC7dlTTSjSh7uyRpsKQ3YttXkk73OSpTJL0l6W9+EGnn7yMnRv2+pJLJqdOmTcPMKt7Gjx/fpPbtvXX28S0LY+zs4wtj7Jjx4VSaWoRVICCebWKhYnOBJhNweYdxZuA8HOQE/vuQT8XIIWl1SVsBPSRtKWmo33bDGbMW46NTzwFG+V01uNSo+OvY3cx2B6bhAnW2NrOtgC2BeGWOiI1x3u8+wNPm0jbmm9ld/nGSnSwlbcKccEZcmxVJb3s7k7qVeKn/xBnFt3EGOtrKUtZjNLP3cAnJ0XTBx7gk7MG48OF6H4k0Cvdmx19QFU5FZC/cB+NlSY9YM7TrAoFAoDUxqyyPsVzJP7miwnVmNtdHVO6JC66J8whO0ekFnPbwOPMWPsHeuOCW/sRy9nA5sMXW6+JjudjMLi7T7Ps4A/cagJnNlJNyS2MjM3s7emJmkxSrWRrbPx843Rv1P/kUjFKOV6k3NXleRRUxUuhuZs3KwW7qVOq3gf+ac2njc54v4v7YSbYF3re8AO39uEXXYBgDgUCHUqlWagUe4xq4pPYq3I/6g2b2mKRLgVfM7BHcutk9kt7HeYqHpXVk+QT5g83soUpfS4wDyAf5FGOpmZmkKAWjVADLu5Juw3mUhpNje7dYYzN7VdIeOJWo50v0O1vStmb2UnynpG1IFBHw9iYSMP/E/NqrvwlZrcQ17pF0Ak6MIJ7gX1ZUo6mG8TDgvpT9x+KKySbJLTh7ZgDfauI1Uxk2YAQHnbEVo48e4XZUu5cy5v2ygieBQCCQq8fY4n7M3sJ5YMn9v4g9Xgz8oAl9PiRpP1wps+6x/ZeWObWSF/SgpD8AK3nDcSxO/SmNY3Drfaf558+REjUqaQNgNTOb6D3hG4Eb5crizbTG8oxn+XH8kfz0ZpSbmHrTgMtfjCf+N/h92xRpvxSngHU++fsbowIJzYqVb3yY7ExgE4sppks6H/eCDkpODUj6AbC3eUUFSUcA25rZz4tcw8aPH1/ReKa+PYOVV1uBL2f51Bf/cRi0af+Kzm8PFixYQM+ePcs37EA6+xg7+/ggjLE1aOr4dt99d8yan50vadf1f7j5hG/+fMeybccf+xfmvje7vZVvfo9bU9wdZ7QOAV4ys+PKnJcxs7KC2ZL2Ar6D++Uca2ZPtXC8jwHn+ZuE+P6tgYssoXzjj62G8yw39bsm4xRwZhe5xhtmtkViX1EVHrk6rt+y8jmVjWiKxzgMeC1hFI/Czf9+u8h8eW7B2dOfMpXXd9ttt4oGM/po5zE+/JvCtdQxHxYr9tD+TJgwoeLX01F09jF29vFBGGNr0BHjyxrUZzttHYUdzGwzSW+Z2SWSfkPjCE6gcaqEnP7wPNw07j9S2o82s3NwRcmT+5Jtd8RNza5LYWRn0usakDSKvt0rSi+ejpnNknQ5LsXFcMt0i9PaeuZIOsBPTSNXfqqU0ZsMLCxxvChNMYw/IjaNKmkfXLDNrpZXLEjyMjDIzw1/jHORi1V8DwQCgXbDrNXWGNuCyEAslLQmTkZuvSJtu+PKQkWybgfjjMJxknY3s9MT7fciESiJc3waGUbc2ugI3HRnQ4nxlsqxbCTx5iNzf42bqp2OW5vtL6dver4VlqKLOAm4V9IN/vkMXG5jMRpwYgDjKVxjLJuuUZFhlCs9sheF9e1uwGkDPuXvUF40s5P8H/E2M9vXR6z+DBiLS8y8w9LLibSMqEJDVRXDNjgrrDMGAoGytNYaYxvxqE+BuwoXPWq4MmVpbICTpKsHkHQzLp9wL1yqAn7/ybipy4GJNIdewMQifc8zr2NahpclnWBmBWOUdBzpKRJX+esOtLxma2/gar+dljzBr1Nu50UDFJ1Xgr/7rclUZBi9R/iNxL4NirSdSaxumJn9E5dP0rpExlACZaAqPyUybIOzgBCI01KGre0/m9U+pL268OMyZuqV7TyiQKA1qdRjbF/jKSkDPONzIh/y63fdzWxekVPWwkmjRcdXxAlzN0iKC37/GRiDK1UXzymfXyJSc7ykq3DTuHGvK6nZejpO2OBwCoNpakkv1fZdYMP4EpyZfeWN9xRSDGOs3YJixxLt0vInK6JTKd+0ChUGEwVazrBBZwfjGFhmyZoqW2Ns558UM8v6NcXt/fMllKhoAVyJmzKcQL5E1a99GsbTsX7n4YznjwAk9cNNgfaU1NNcfcMkURZBvOBwI81WH3uyg6TdyQfTPG5m40jH0uJSvDFvlXdc0iDcTcAQCiN7y0alLh+G0bJQnwjEqqlhn80uiLVx7/UTb/+qHQe2HFAdS4BuyEJN7COTLRv8Fgh0WqxCSbgOutV+Uq5g98NFAhtzmNntkv6JyxsXLjo0CnI8K9le0v448YA1gdm4wJp3cakhyb53b8bYLbYV4x1JR5pZgXi5pJ/gPMbkmDPAdmbWlGoad+Kqg1yDi+49hsrSWZYTwxjoEIK3GFiWMUQLMj7ampG4KdF6SYtxP+hmZr2LtN+GvCh4A6Wj/3+Jq5bxtJlt6b28H6U19CkVv8ZNzQ6TNARXVur2RLu1cNOti3FTqQIO9apo3zezjxNdDwcelnSsb2/+NfQgZeo16UVXSA8ze0aSvEjAxZL+hTOWJem0scrNoqbGbT26Q3UVVuW2yFtUgzFsSFlVpQAwbJ3T8+u44NYXqzLuvTSDbJZhg87uuAEGAq1AJVqpFToZrYqZ9TKzjJnVmllv/zzVKEq6Arcm947fTvVpEMWoM7PPgYzPexyPl/1M4Y+44Mk1/fP/4NYTk9wA3Gxmu5rZSDMbYWa7+v03pby+j83sW8ClwIe4yNRLzWzbFCMa8aSkgyVV+gdZ7D3NqZJ+Jun7QL9KTizrMUoaTKGqzUDgF7j0i4tx4rHbmtkrlZ5rZtdWMrhAIBBoK4zOO5Uq6Rkz+3a5fZ59gS2ixH5JdwGvkxcJTzLXR3Y+h0t/mA3UF2m7qpk9KGkU5EpmpaVtDDGzNE/vbi8Ck4pfgyy2Dpkk8qIbJC2ivBd9Ok4k4VTgMtx06lGVXKglIuIr4EqN/KEZ57YOwkWkZvyHO1rz8n/iDGBV+Q9+9Hifb7q/U1utN0Ze6UHDN2H0ye6zOebdyxk22AWCjXnvija5bqsSRaBG761ZoQcZCCzjZE00dLLgG7maiysAq0pamby72pu815bGSuSrdfQpc5nv4Uo3jQAO9+2LSc19Lekb+HdB0nbko1/jpKqxe4+tEqX2sphZMaHztOtWAYea2Vm4ItLHNOVaLRERjwbQ7HMDyxZhTTGwXGGVrTG2s8f4U5ynsyb5tTqAr3D6o2lcDrzuE9mjqNRUb9EbjH+Y2Z5AFiiX0jASVxlkfUkTgb6kF4x4VNKtwOlm9rW/1oq4wJdWSdfzU6iHA+uZ2WWS1gbWsIQQOeSiW7fy64tN/hM2dY2xmIh4W59bOVJ+HayuHi1tQEsboKoqv2WBLOyzSVEPv2U0ZN1mBkvqIGsut7KhwW2dnGHrnA713u3O5j9TUX5oILA8EE2lltvac43RzK4zs/WAM81soJmt57fNzeyGIufchwumedhv25vZ/UXaNuDUdMp5lVH714BdceLdP8VpZafVQDwb50lOk/SqpFdwa4dfAWdWcq0KuAkXfBOppy2g+M0CuOnkf0g6QtJB0VbJhVpDRHwC7o/YaI2x3Lkp7ZomIr56TES8cW8F/4FSP9+DhpSanWgeUyd/DGaFIufJ68bEzqdOmuEeRH8KFW/b2qSJN0992xdEyc0GRP9bu4u0d3bxawhjbA06QkR8tQO3mbD2iXuWbfvOqXfy9dRP2n0dQdIONK4+f3fs+NBS56ck4UfnPYgzpE8BX8fanxprU9KAWEqRYX9eD5wSj3AlB1N/ACXNp4QznrZuKOk1Mxsq6XUz29LvKyUifmd613ZssetGtEhEvC3OrVhE/JiRHHTGUB6+9k23I/JsojWx6Ec945xiq66C6sYO8hNvtr506267wbCBZ3LQyC3y42vEmzllntHHe0+swXu2Cca833bC6GnizfGn8cjTjphK7ezi1xDG2Bp0iIg4osHKT5p1hGaIpHuA9YE3yGuUGhDP+/tNiS4aJeHHeNxvpWhUDSPRd4FhlLSTmT1vZouIydDFjvcG1jGzSZBfL5SrWfkpcA/OmB6Ok4pLo85PBUfrnX1x83/pgzRr0rpinGaLiDeRlpybjvwHOlv8U2u1Ne5BVaGxtBQD2VKGbXhOwTVyBhryxi6SrWtwf8thG4/CMhnoVosWLio8vyEkzwcCbUmlIuIdxNa4SM9SXlVzku8xs7u8Z7eOD5BMa9NUo3KwpCuBJ3Bro3NwajMb4KJB1wXOSDlvb5+2EXGzpH/j1HyS/A4XvNlP0q9wa50XFhuQElVHPEWrjsRptoi4zwm5HrcY+7hcray94yLixc4NLDuEgJvA8kwnVpCcBKwOfNLaHXvlm6txOqbrSdoCl0N4QErbb+AS4nfCeWrP+7afx9uZ2QgfRXsIriDzGrjI13eBP5jZ80WG0+D1Ve/3/f+IIlU8zOxeSa/iAjkFHGhm75Z4qU2tOpKjJSLifyMl9cIai4g3OrdVycSmTCOPLPK6vGdofjpVDQ0goTr3vltNy6OI99nCF+muqUZ19T7oJ1YxJWv5YGUzN5bqqlzYkyIpux5eyq+u3o0/kmKrb79gnWEDRhTuiFUtiQjC7IHlBYNWiUr10ZF34wxZFrjFzK5LtNkN+AfwP7/rYTMrliIBsCpONu0lCsW7GxmvZnAxTj5ugu/zDbnSgGncj8t3PNg/PxyXm95ocdbMvsRVAClWBSSNHwPX+cWO2qIAACAASURBVM1wVT5S17ck3WNmRxCTjIvtS6OiqiNpdGlJuLGvXNzRQyjLmA+u7ughBALLJVZxHmNZ41kPnGFmr0nqBbwq6SkzeyfR7l9m9t0Kh3dxhe2aQ72ZzUuk2hWz/6uY2WWx57+UdGBrDcTMPsTlVVZCgZarX2/cqkT7SquONGLZNYwZH0Yt5QJsGlGfhSrlPMVcKodnn80uyHlFT7x5WXof5TDLC5hXJzxQwwmcR2Qt/477seTWO7OgRf5v5YW6rbqKfTY5nycmt7PweW7d1grKeUEo6RVYjrDWmUo1s0/wU55mNl/Su7gf5aRhbEqfz0paFxhkZk/7JaliSfRNUckBmCTpx0CVr0BxKlBMnHu8pMOAB/3zQygfuFMxPoDmBBpH3x4bazMKOA/oIekr8mHyS4FbSnRfUdWRNJZdwxhoF8b877cFzyPDGApCB5Z1mjKVKulE4MTY7lvMrNGPsqQBwJbAv1O62l7Sm7jUtTOtRNF2SSf4662Ci05dC/g9bn0tatNclZyfA+fjpmjvw2mhFngGsXQK4ZL87/GHqnD5g2WFuCvkH8C/cIaq2Nri5cDlki43s2Iyd2nnNanqSJxl1zA2NACWiN7MYLX+pipeyDhOJpO/Tcxmm3XLuPeW7jOhSCYtWsv0knSKQsAzyq8dAiblg4szlnusaAzda/PjWbwELQWqq13KROx1jPnP6IrHOmy9kf7iBrW1pfvIVEG2wY3be43D1jmdMdOdtO2wgfk83TDFG1jmqVD5BsAbwVLeCV5/9CGc+stXicOvAeua2QJJ++Iqyw8q0d1w3A/6v/31p8rVT4wTV8mJ5yyWUsmJ4j7O91uxNhXLr0Hz8x6BFczsnEquYWaj/A3AIArrKz6XGMtGZjYllufpE7NZXdLqxfI747SpiHisjyrgFeDjJsyxl6a2FlB+qq86YRCj6dVIPzXa7ytDgKu2AYV6qs3BMhmUU4rxz6PrxjRGIwOYu16VoMGcwfTkjGRkxOIapXXuGpGBGvPB1Xk1mljaSoHRiudFRkFByuQM5kEjh7o8ykiRJ+PbV8eM48AzgyEMLHdUKiJeCZJqcEbx3jQjEDeUZvZPSTdJWtXMPivS5RIzWxqtA0qqJrEO6AN8rpP0czO7vglj3RCnRjOAwunLYnmPldCkvMcYj0na18zKysZJOh5XRaQ/Lr9zO+AFGudrnoGbnk3L8yyV35mjTUXEY5yGC9stpoLeoTRVTHzs65cAsYjU1qZEbmacYQPPLMyXbGOCcQwsV5QrpRtvVwKv4Xk78K6Z/bZIm9WBWWZmkrbFxaV/ntbW86ykaF1tL+AU4NEibf8g6VTcGhq4aNM/mFldkfZ/wU3L3kaR6cum0oJk+tOA83wwTB2lK2achqvZ+KKZ7S5pI+CSlLGc4P9vVp4ntIOIuKT+wH7Ar3Bz1a2CVVeBhNXWOO8smlLNBeLEpknjQTcNsU+5K+HdsqoXZsgMq65248gA9dlcighZK1CkzQXbJN+3KhccZGTQ0ngFmFh1kB7d8gE6SbL+811Tk5/yjAf+KOM2y/ot9j7U18c86qxrFxln74kP2/CcJk3hLk/U1dVx6aWXsvPOO/Od73yno4cTaCUqL1Rcts2OwBHA25Le8PvOA9YBMLPf44JWTpZUj8vvO6yMuPW5wHG4tIKf4oS4byvS9iaghnzdwyOAm4Hji7SvN7Oby72opiBpJDDPGhcw/jlQZUVKDTZxynaxmS2WhKRufrp0cMpYmjutm++jUq1Uf8E7cNJuN8T2TaCEVqqkv+LU33v5dkWnUpuklTp5Jiv3686Xsxfjwstynfj/i5xoRZ8waJO1Krp2wTjemZm/XiyYE/DjW1R4QtIgpumjFv2bqNDYpfYTG0i8G9F4H6TruSr9yaBNm/7+tJTOoPH50UcfMXv2bAA23nhjVlhhhYLjnWGM5ejsY+wIrdQ+++0wYdUjh5Vt+9G5N7Pkg4/bVSLHR04u9qLf0WxdtzTt0TS90DIaohcDs3Ezf/EcyS/S2vtz+lG4rjc9cXwSMNTMlib2dwNeNrPNSvRddt3Qt/sbrnzU6bjp0C+BmkhMJtYuTSM11nUraqXKCYEfQPHil2nnfBeYbWav+gTXslSql3jFz8/n4JM34eEbJ7kd9Q0578ZKeLG5db74ul60Hsik3L4x75YqgB0bx2kXFq5fQm4N8+CThvDw73weaVLDNTnOuNhAfH0yYQdVV58/nmvvrxuXnMsm1gzjx6M2luWgkUN5+Ld+LVopaS8xQzzmf4c3Ph4jvvbZWnSkxucXX3zBhRdeyE033cSBBx7IJ598wgUXXNBoPJ1dhxQ6/xg7ZHxWWVRqB/EMLol+gX/eA5ecvkNK2wZJ65vZfwEkDaT0FGlUrDcemWm4+JECJB2AW6tbE2dM18Uti22SaGpJo+h3LlGJacUmrBti+ULIF8uV2OqDk6BLtmu2RmpEW4uI7wgc4KOwugO9Jf3JzNpOFbudeeLNy9purTHQYcycOZOdd96ZDz74AICHHnqITLF82cAyiZmwbAWGsWNk47qbWWQU8dGsKxRpexYu3/AD3BTPupQozGuurFWlXIYzVk+b2ZaSdsfJtjVC0mpJ+yBptTL9V7Ru6Pu6FJfa8X9m9myxDv20blGKrQPHaco3vclC4GY2ysz6m9kAXD3Gca1mFLO4O75o/bAq5aVkEo8zLiLUquSeVwmqhHWrwbrV5MedyTSvVmM267ZMxnt6wqqrcuuhrvOUb1nkLUbpIxJWVYVVV0NNFcpm3ba0zh3PZNwWiRZkVPj6q2LHsg2F64oW8y6VcV8j+RSWgrbZvLdYXZ1PGyn7HjQwbL2RuW1Z5PPPP2evvfbihBNO4PPPP6dnz54sXFisvFlgmcYq2DqGr2PpBkjaCrc22QgzewY3FXmq3wabWdE1KUkrSLpA0i3++SA/u5dGnddFzUjK+H63SGl3FU4ze1dJvfy2Gy5gqNQU0mIzW+zH0c3MpgCN1g09H+Ls0CuSXpL0G0lpqjm9ymxlaXMR8bbC5RDijF3SvmfIpylkYgE4CSxRdYOGDGrwwTRVYp9vOuNYLGq1UT5jVVXeuGXIjQ/cQr/qG3/LZAZL6/NjiXRdk9OlsWMFxjUygBHReVVVboo17YY4pyUbvUcCqvLTvVUxQx2/LjBs7dNyj8d8VCAH6dJHknqryxhmxjHHHMPee+/Nuee6oKztttuObbfdlvPPP5/DDy89nRxYhujcU6mnA3+RFCWkrwH8sET7rcinX2wuqaB2Y4I7cRUwomnZGbhI1cdS2s71+ZnPAfdKmo2TwCvAzO6WNAe4FNjU754EXGRmY0qMe4aklXB5nU9J+hIngNAIM7sDuMNH+B6KSzk5kYSxM7NUj7MptLmIeGz/BLxobZuyPMx2dWLJ/3KM+fCajh5Ci7j//vv53//+x1//+tfcvkcffZQjjzySSy+9lEmTJvHll1+y5ZZbcvjhh3fqgJZABXTSr5qZveynFQfjbm+nFEu/UGW1G+Osb2Y/lPQjf61FJdYBv4fzVEfgBMT74Ixf2pjHAKWMYNo5Fa0bAki6DRgCzMJNqR5CobBB1O5sM7tS0vWk/IUtVpC5GMuu8o35SNQshcYw52j5z0c82CWmS5r7P/LUGnzKRUNdo3qNkedYcPlq99bFPTvzXqOShi2KpanONAqmKQjAiVR5rNDLzVUHUXRMLngmPpUKvpJHVf78+MuIrhNX+4mPM16lJJqajgJ3yuRVxr1IaOxJLivMmTOHESNG8Mgjj1AbUwnq3r07V199NTfffDO9evWif//+PPHEE4wePZqXX365A0ccaAlmdOY1RnBrbwNwv9NblvACy9ZuTLBUrh6jAUhan1h0ahwz+9o/zAJ3lepU0jBcmskmvu93gNGVJO/7axVdN/R8AydJNxf4AvjMfOWMBFEpqqKiM+VYdg1joN1oVn7nMsjpp5/O4Ycfzrbbbtvo2DrrrMPll+cjlYcPH06fPn34xS9+wR577MGkSZPo27cv/fr1K5vbG+gs+EIEFbVrX5roBTa1duNFOK9sbUn34oIkj27heE/ALbWdTd4gbQ1cIal/mq5sU4m8S0kbA3vjAo6qzKx/ot2j/v+ShrwUy6xhtGSEYK52YNQg5hX5AB3VNWB+/Szy9KJ+otqMls3m6zXm5OWIaZxSeH5tda66htI8sdg5bnwpQTjZqP9C+TrLZFxlkJh0nAqCZ+Iyd4lrp/04R+9FVOOxhGpOo/c3RhSEY7UuYEmJ6w4bcp57PG9+7pwxH1esWNVsvnWECzar7+HfP/9ZeO3m8uue48aN48UXX+Stt96q+HrDhw/n8ssvZ+DAgRxyyCH07NmTQYMGMXLkSA499NACrzNQyI4/+A2RpHD14iyHH7AOHZJN0kmnUmmaF9ik2o1m9pSk13DRpgJOKyFNVykjgJ0SuZDjvBf5PGV0ZivBBwjtjFP4WRkYh5tSLdZ+a5we7LoUSt8VzamMWGYNY6DzMOaj6xjWv+y0fafm2muv5dxzz2XFFVes+JzRo50S0IABA3jggQc4+OCDGTt2LFdddRW33XYb48ePD95jZ6Zjo07L0RQv8OKmdByLdo36XkdSH2BakanJirpNEwgws88r/Q5IWqWUyAAuZfA54DrLV8koxb24VJa3abSIVZo2FxH3ajlRov+maW1aRNyxySXYJ45FKQ6FA8v9n63Nvw0N1d2oWrg0L6pdjEiIfGleTi3yMAsiSuMfivg6H+THVJVY//PjVS71w9eVrHfriqniBI281PzrSwoeKL4uKeXqP8bXElXf4NJMiiE5sQEz50H26J6X5Yv+9x4lyrSLEHlDLWSr4xG6lZ03depUJk6cyH33NSkbiWeffZa11lqLadOm5ZLT9913X/bZZx823XRTJk6cyE477VRwzssvv8w555zD7bffznrrNSWdbPlhxx84beeGWvn/q3LeY7tS4RpjB9nOsl6gJJmjVE6fUrzOm4ChwFs4j3FT//gbkk4ysydj579N47dgHm669Jc+lQPgK0mbm9mbietvDsxPnI+kHXESd1ngWOCXwPpyYuyHmtkLyXPMbHix11mEOWb2SBPPAdpHRPyPwA0Uj5BqFjmDEA+giSjIXyzUJk0aLdVnycgZwWxtFcoa2R41qD5hFKLp0oaGQr3VSB81k8lPc0ZBMQKrqnLnkA/+UUPMEMZ1XOOPs9nCyhhQUAUkqgySM2a5qeRM4RRw8j0yc6W5cmOUmw72x3L9L6kvWiB5zNQr3XTp0qhaR/7aBa+hpqYgfWTY4HNhqRPHSNZ5bC3qfJBopgEavF0efJmLlG3wM5vvn1M4tTpq1CjOPPPMJnmLQM7oTZs2rWB/JpPh+9//Pk8++WSBYbzvvvu44ooreOutt/j5z3/OJZdcwlZblSpAvvyx00FXI9wNTNUSw6pgac8M1o5i+AW0goh4G3FxBW3GS3oI+Edcos2rlO2EU7gZj/sNjvMhcJz5epCShuA8q8twVTCejLUdg1vj/LN/fpj//yvfb1RV4wzgES/H9iruXdvGjyEtd/0aXMpFT1zh4wPN7HnvzV6PW/dsKRf5SNZnKLy5KKuV2uYi4mb2nKQBTbxOoINZFgNuXrl9JN88o2npIhMnTuSll17innvuKd+4CQwcOJDnn38+9/zJJ59k+PDhfPnllwA8/vjjvPDCC2y33Xacd9557Lhja/wOLFtYiQmJ9hmA3NYJMbNnvWrMNn7XS2Y2O9FsH5y3dZ+k9XDRmt1xkRZPAteY2Rs0ZiOLFUk2s3ckbWlmH6T8nu9oZvEP59uSJprZjpJ+EuvjebmqIcNxgTwCJgPbmdmnKWOoMbO3ASTNMbPnfT+v+YjZ1uAYYCOcwHrkERnFS2DlaHMRcd9mAPBYuanUpomIf8zK/Xo4EfHob2m5f+K9FvxXEik2/ZpyPBdcU64f99/Kq3bny88WJy6eOLmld6NR+kbsuqn9x4/F3q+V+3bnyy/8zVTuo2MMGlKqALh7/wv6T1Us9+Mr8t4P2rR/+oEYTRGXnvyx/90oMy23yRr5eq9TpkyhX79+rLLKKhVdI420MU6fPp3q6mrWXNO9j1OnTmWllVZiwYIFfPGFW0YZMGAAM2bMAGDw4MF0796dtqKziIi/99+8YljOJgm+0buWvt9YueJ+WkNEvNeeO09Y5dBSZQQdn/zyOpZMm9GuFlTSoTg1mQm4b9DOwFlm9tci7Wtw06+LzGxumb4fwKU73O93/dCfewTwvJltE2v7JnCimf3bP98WuNXMNpf0uplt2czXlxM5l3Sgmf09dmxSayy7SXrbzL7ZnHPbVES8OVQqJDz65FEc9LNv8tBNkwumDBVFXHqJtIJpxdi6YhpWU0W2m89PbIhNuUbBoj5aVQ0NKWt6+SjR6JqHnDiYv972XuH1EuugSkbPQuPiymn7/HmKFzqO3ofYWKiL3o+8Qk4uL9KMg0/ciAfvdXqgmaWu7diXL2r85iTYbTfc1GjaGmd83HV1hULmMcZ8UF4dsCni0sPPdd5ivZ8RVWyZOO6dvPejQwE488wzefnllxk/fnyLdFCTYzzqqKN44403GDt2LKuvvjoA8+fP58QTT+TVV1/lyiuv5LrrriO6Kb366qu58soreeSRR9rMeHUWEfELrr86dw8VrQdbFRz1nf784ODd2ncwBlSSx9gxnA9sE3mJkvoCTwOphtEn/1earnE0rr7j6Tij+zxORaYO2D3R9nic2kxP3/Yr4Hi56h+VVVpI50JJK5jZwoRRXJ8iy25+XfJi8lGmAszMGomfe16UNMTM3mnq4NpaRLztiAeg1MfqMcYMR0HKQRaUKNlkVcon39dWu5SIKpGp82t/sbVE+QAYd141WlKX6zf3IJEKgkWGK2X8mdg6YTLNI1qnS/Pm4xJwZi5oIWZUc0YvGkN1pmgKh/l1UFVYGDmVKDio2JR6TRSA449HAT1L6xi2wVlYN7fwV2w9s6ksXtW9loYe7v/audH7Udju2muv5fHHH2fixImtKg5++eWXM27cON57771cearFixfz1FNPMXToUG699Vauu65QAOHUU09l8uTJbLvttjz33HOsuuqqrTaezoqyRvVif3NXbwU3Me1K511jzCSmTj+nlXS9zGwRrmJGWoX7BYm2LwPf9FGrSnijD7ZgGE/ipNySIsTzgd8VOed2XFrIq1RWYHkn4ChJ/8OtMUaGtFXTNZosIh5YtqjEU4wz5r0rckWeOwOTrxjB+lenB/W8d2E+4ObBBx/k6quvZuLEiS2aQk0yZcoU7r33Xm677bacUZw3bx5HHnlkTk1n0SKnA33OOefkzqutreXOO+/kuOOO45ZbbuG8885rtTF1Np5/yJUm2/nAqzp4JHT2dI0nJI0l/5v7Q5oot9YayNVTPBivwBOtQZrZpYl295jZEZJOM7NKpK9+hxMZSK737YUzaCennDOvjO5qkn2a0LaAiu5AYiLiD8f2fV/SDGB7nIj4WL9/TUn/jLW7D1dfa7CkGZKOa+5g41hV5O0kNdYsl/Cuunq3+eoUBc2U9xapcTJu1q3KTSc2RCkTND43J8OWKUwByZKvrpHw9GTm+jEnUJ4TFk9GpJbaoulRs/x1YmOyTMYJAqS81tz50TVbGVuxu9u61ziP0G9WW+NSQWqqse41bpOw6gy2QjeyvVbAaqtZslZvdv/O6FYfVxrPPvssP/vZz3j88cdZd911W9TXZ599xoMPPsisWbM49dRT2Xrrrdl///3Zc889c23OOeccevXqxTvvvEO3bt340Y9+xIIFCwpUdCKaGhW7rNMhKRpJrIKtI4ZldhYu4n8zYHPgFjNrVN5GUpWkp9twKP/A6aXWA1/HtiRbSVoXOFbSypJWiW8p7XdKiw41s3txCfxpjJd0laTtJQ2NtmIDN7NpaVu5FwztICJuZqm1u1qNYj/0kcGJihfHK2mkVakAMotdbqvVVOUd9WS5qPpsYe5glQrXB5PjiY7F8wnjdivZPp7jmGbg4mOOp1fE8y6Lqd5AQUpJ9J5oaT1jX72k8TkVkF2hGwB1q+YDybrNmJc/3q2m0FBXu/eiYQU3hbpoDRdwsmiVKrY64RqyNbBwjXzzP+zctLX9/55ZvNTVxIkTOfTQQ7nvvvvYfPPU4uZNYrfddmPy5MnccccdDBw4kMcee6xgHe9Pf/oTDz/8MFOmTGGVVVbhq6++KtrX3Llzufvuu3nzzTeLtlme+Nffzyp4PmHChPYfRCtFpUpaG7cutjru231L0mvyIt3X4X4bFwJHm1kjAexY+/WAf0bGQ1IPSQPM7MOCl2DWIGmhpD5mNi+trxbS38wq8bx+j/MAB+KmOpMRh8l1wFJvfLFbpm/5/7dO9F1Q1FjSa2ZW1GBW0iYo33RGlvGCuGPezXtDUWmuSsjWlG/TXP75z39y5JFHcuutt/Ltb3+7xf0988wzuSjSPn36cMwxxxQcnzt3LieddBITJkyoaLr2/fffZ911122xFwvOIE+aNImhQ4fygx/8IKjvFEHWeO05lfJeYz1whk816AW8KumpRNDHMFzNxEG4H/ibyf/Qp/EX8mWhwN2q/4V8+kacxbg0iqeIeXOVVJEAkPRrXNL+bbGE/Yj/k/TNKLWiGGb2O+B3km42s7Rp0CSzJW1rZi8lxrINMKfINZKBQcXYWFIpbUfhqngUZdk2jJH3U1eff578EcgF5cTqM/rzIn3Ugv6yuGT+yDYlI0p9/UclrxXzIiM9ViSspiofENPQ0FiNJT6VmhMtKPJtjYoYR4YznsBfCVHVkPqYOEJTzof8mqJPyM4A2e6lNUGzPWpoWMFZvYZu/r2JPNgszF3P7Vu0Rv4XqGpx6/yYmxmXXHIJf/zjH3nggQdaxSgCHHbYYXz2mZOXrK5u/DWaM2cOq6++OltvvXWjY0k+/PBDrrzySnbZpdgMUiEzZ86ktraWVVZZpSBw6D//+Q9PPvkk11xzDUcddRRnn302d9xxB9lslhNPPLHCVxZoKmb2CT4i1MzmS3oXWAtXXSLie8DdXoXmRUkrSVrDn5tGtZktjV1jqc8MSONxvzWXl3CC5dcARyaO7QQcXWkAi5md7NVudva7njOzNCN1FvCgpD/iPExwnuCR5EUECvABQBeRn2p9Frg0xVPeKO38BCWDd5ZtwxjoFIx9vfg07NjXL+E726WWb0ulYdEi5k4Yx7l7f4dzzjmnRVNs9fX1DB8+nFdeeYV///vfrLbaas3uK8mcOXN49NFHOf/88/nkk8a/bdXV1dTXl5ed/PDDD3PScJMmTSrb/uGHH+bII4+ktraWBQsW0K9fP1ZffXW6d+/O+++/z0YbbcQDDzzA1ltvzSGHHMLo0aPZfffdmT59Og8//DBvvPEGl112GZtvvjn9+vVjr7324rjjjmvVIKRlCVW4hijpRFxR3IhbLKVihM/Z3hL4d+LQWsBHsecz/L5ihnGOpAMiSTO5SvWpQt9mdpdPil/HK5U1iXi6RArDmtKXpFNx71O0fnivpFvMrKCKgJm9JOlbuLSRo/3uycC3UoQMIu7Aacge6p8fgSu6fFCi74rWEUvREq3Uu/3+ATiJoUPN7MuU868E9sM5F0/hlNxbaUnbrdsp0vqsi/0QJT3HWB5f/P/cOltD5AEm8xfdOmLOu4yG3pB4CVnl0y9y5L1TRXqtkcZqPB0jepwMxsGnX8TzE8kH0OTWC6OUDfJecE5iy2hUH9Jqq/LTQ02cZov0UxsF+BRh1/2vgr49qO/uxp6pN+pWdI/r3fIk3eYZS/qIj/9wM4v/+z4Az1RXFURuJpk9ezaTJ09ml112oaqqcZ7kCy+8wKhRo6itrWXChAn06tUrpZeWsf/++7PZZpvx97//nf/85z9suOGGAOy555707duXlVcun7BeU1PDaaedxmeffcaIESMYO3Zs0alPM+Oyyy7jwQcfZN9992XJkiXMnj2bTz/9lM8++4xddtmlIIBnyJAh3HXXXQDccsstHHzwwbljq666KqeddhoPPPAA66+/Poceeii/+tWvukSqSA6jwjVG4Y1gyQoRPtfvIeB0M0suKJeS30jjJJxRicRUZuAMQdp19weuBmqB9SRtgfOkGlXXkNQdp129M7AmrgjxJODxuBqOpN7+NTTSOS3D8Tjj9rXvZzQu+LJReR0zmyXpcmAD3HvxXzNbXKLv9c3s4NjzSySlKfu0mJZopZ4LPGNmV0g61z8v+CWTtANO8y5yu58HdsWpOQQ6CaU8vnLE1xObw9Kv5/HpW88wsHd9zihWVVUxadIkSt0/3XfffZx++ulstNFGbL/99gXHpk2bxtSpU7ngggs45phjqKlpu8XL3r17k81mOeWUU9hll124/vrrc1Osf/7zn8ucDWuttRbXXnstdXV1rLTSSowdO5Y33niD8ePHs9FGGzFixAgGDBiAmXHWWWdRV1fHPvu4WIhu3bqx9tprs/baa5e9znrrrcevf/1r3nnnHcaOHUtVVRX77bcf++23H7NmzeKSSy5h2LBhjBs3rk1uIjotTaq5UByvPPMQcG8RLc4ZQPwP1R8oWiHCzP4LbBcl1ptZKQN1MbAt/nfVzN7wwTvJMV6M0zadgPNoZ+Mk5DbE1U3sjlsrfQunjfpd8rqn5YJpcpehcJqygZSbAknVwK9xsm3Tcbf3/b3W6vlesCDJIkk7RfJxPuF/UZFxtIhma6V61343v/8u3JudvMU33Btfi3tzaoDWEwgQ7u2sd+kZuerz4LzBWu89xapnROt/0TEAspYLHVe98jUXo7W4FE8uWxutG8bqN+aqZCSGGUWMRt0VizYttoYYeYrVhUE5Fvu85SJelW+X9xotN2WUu0HOOG/ZqsQee13BuKfK5yN+e/fLoV9Pqnz0ruoa2Hvrixn7ysUlz2uoFcoa9d1FQ62o6yHMjC+mvMgnb41jpXU25Yorfkn37t25bWC87AAAIABJREFU8cYbmTFjBpMmTWKLLbZg+PDhTJ06le23354hQ4aQyWRYvHgxG23klhGmTJnClClTuP3223PXGzZsGAcccADdunUr+5payuTJk8lms8ydO5c5c+Zw//33c+aZZ3LHHXew5ZaVR9TW1NQwYsQIzjjjDHbYYQeGDx/OCy+8wM4778zUqVP585//zNNPP81zzz3XLEGCmpoaRo0axaxZs/jTn/7ESSedlDu22mqrceONN7LbbrsxcuRIbr311ib3vywiq3wqtWQ/zsW/HXjXzIqp4z8C/EzS/bigm3kl1hdzmNmCcm2AejObl5hpSHtlL5vZxUX6+K2kfsA6/rrf9f83MrBluBP4t6QoY+FA3HuT5Cpcgv/AyOhL6o3zfK8GTks55yTgbr/WCPAlTqQ8Fa/Os8jMspI2xK09jilidAvPba5WqqS5ZrZS7NiXZtZo7kjS1Tj3WsANZnZ+if4r10p9Z6bT+ZyduGGIv5x4aSX8CJIvVylTk6mDi/WfvP8pyHfK95HXSk0Zn4o8lyrLnVLK45zxU3rAc7bxeaus3I0vvlzChoNWL2j6n/98mmube38aLHVCaMMNV2+8M8a702c3ek0NSxfBkvmss8469O7dm5kzZzJnzhzWWGMNevToQffu3Xnvvffo27cvCxcu5Ouvv6a+vp7a2lqWLFlC9+7dWXHFFenRowc9e/akR4/W0h1uGg0NDXz22Wd89dVXDBo0qNX7f+edd+jTpw+fffZZi/RUy2mlLly4kKlTpzJw4MAO8RibquXaGlqpfXbZZcI3Dvhe2bYzrrmGJTM+KnotSTvhCubG6/6dR97I/N4bzxtwSecLgWOshL50U5B0O66CxLm4ZPxTcSLdJ5U8sbK+dwTeMLOv5UTDhwLXWqyaR8o5Q3FBO8IF37ye0mYqsGFyWc3PSk4xs6JfJm9ASZmuTrZ7FTdlvDLwIq5U1kIzO7zUedDGWqmSNsDVa4zUop+StIuZPVfsnEr1HK/4+fkcfPImPHyjnxZvaBzRaT1cEFfkMUYJ8HGytdVYjff+6mLrf369MOelRbY1a41K5Kghm/cuY3/nQ44fzF9vea/ASEXrkEljHD23mqr8GEus/0XeqWUyjQ1jtcj66M94Qv/4Jxuv2U2YMIFDDtmt0f7LLr2crH/tDX59sHZeXeqSzDMTUoPIcow45RoysXu0idefzNChQ/nVr37FAQccwKJFi1hhhRXo1q0bS5YsYYMNNmDDDTfkgw8+4OSTT+aoo46iT58+zJkzh2nTprHJJpt0mCFMMnv2bO655x7++Mc/8vbbJSPam8Vrr73G/fffz4UXXshee+3V7H5KaaUuWbKErbbaivPPP5/99y8vqt0WdIiWaysl8PupvZJG2huAptYTrJSf47RVl+CmQMfiSkgVIOlRSrzitDVJXFrJ5j7S9Gyc93cPbkmsWD+vAUVzNPPNGnsiPi+z5F+lnEGMITNb6EVlrjezKyU1MtJptEQrdVYUbixpDdx8dZLvAy9G0wGSxgDb4aowtwo5A5ORM46xaU8trgMJLanHqqsQzhBFhrK+t5tqyxkZZcjUG4awaFlKyhmDTL3TUlV9Q05sHCBbk8nrjRZ4Vyo0dCkeaW7aMzZNmkvvqM82DvKpzpCNAoGimdvaqnzf3mhHRj7bPQqWKewmkuT6yf7rkPw92n3v0VCTiYk8u/+XrlRD9YKotmQTg3ZiM9cXXXQRm2yyCQceeCAAPXr0YP78+ey3334899xzHH/88QwePJg111yThQsX0qePmznp27cvffv2bdJ125qVVlqJ/v378+ijj7ZJ/yNHjmTkyOKiBS1l3rx5bLzxxuy4444cdljpG5zlDhPqvCLiSNoUGIJbjgLAzNIEtvfzM3Hnx879AS7vMU5UKfwgnBjBn/zzH+ECKNOoNzPzS2fXmdntkopOXzaBdyQdmXw93iud0gr9++60PXA4ECmuVWTzWqKV+ghufvcK//8/Us6ZDpzgI4+Eu8u4tgnXDLQSad5ie/H6TSMYetI1mBmz35rAlS8+yqxZswqiL3v27Mm9997L2muvzQ033MBHH7nI9g5RRGkCtbW1rLbaagwYMKCjh9Ispk+fzieffMKtt97aNYUAOkjyrRySLsLFcAwB/olzTJ4nvfLEKBobwUb7zOxZ3/dlZhZPmn1UUjFnZb6kUbhiw7v4qc7WiGYbDjws6VgKCxv3wDlUrcHpuPfhb2Y2WdJAXOHmslRkGJXXSv1pbPcVuATN43AG8Ae+7dbASWZ2PK5Eyh64uXcDnjCz1rm1zuKDSiw/jQqNUyCi1xBLyM9VxpC/EYuaZURDt8TiXCY+zekaVi3KB+bkpiwz+XQNyyi3NaxYA2Zk6v1Fcp4lhakiuGnabDStW29YbYbM0vp8ME4U3OO9wmxNfho18iJz66RVrfMjF38/WtKjZbN89K+/8OUHb/LjH/+Yfv36NWrTv39/brvtNo4//njq6uraNJo04HIod911V37xi1+w0korlT9heaPC4JvWCNBpBofgNFJfN7Nj5IoW31YwLmkYTmJuLUnxihS9cWo8xegraaCZfeD7WQ8oNhXzQ+DHwHFm9qmkdXCBMy3CzD4GviVpD2AT3M/LGDN7ptg5kg5K2T0PeDst99HfCDwrqbekXv71VqQG1BKt1M9xUarJtq/ggm0wswYKjWmrIV+g1yQ3jQr52oPQeH0uPo3pDVHVwjqytW6KNetz++JThI3y/ySqF9YX9B+fRo3XRcx6kfP6HrFpz2i2018/szRLZklD+rX8OBqq041Dbjo1A0v65P+M3ebVU9fTPa9ZUM+EJ9I9xUirMs0jGz82f85OB7nZl9r59WSrM2RrM/SYNrfw9Rbhe8//DIC1aj7n6+kvsPma6/OPl+eUDLI49thj6d+/fzCK7cCMGTMYPHgwl1zS/HSdZZ5O6jGSj6as98Ems2mcIjETF1ByAHn1GHC5hyMozghggqQP/PMBFPmdNrNPgd/Gnk+nSL1EyBmv0UA/3K9epJTTu0j/44BxJcYa5zhc0YrI69sNF1SzoaRLzeyexFi2xkXJ9nJPNRc41szi71UqQflmOWPcU+ey8/evzj1uKc8/7MoE7bHXFc0638wYe95EPhj3EcdeflKqfFocSey9997NulagaWyyySa8++67zJw5kzXXXLOjh9PuVKyV2jG8Imkl4Fac0VuAk27LYWZvAm9K+nMlKQix856QNIi8dNoUM1uS1lbSfPK3D7W4adQFZlZMa/RKYH8ze7fS8TSBLLBxFOfivehIc/Y5XFBQnDuAU8zsX779TjhD2ar1GDsvEtQ3FOYxFmuXyUdzauFSMlZDw4q1Ltq0SmTqszk9T0P5/Eb/BWroUUVmqZ9Grc3kolRNQFUsd1DucbY2r7hjgpqvnYcY9RFFxGYzyke+RlOyVXllHne+Co4Vo/usxWS7V/HtPVzy/TPjKg4kzrHl8GsAeP3GEWz3k9/CarWs8MlSrFosXrsPS3vlo2m+daS7oVywlhvTfof9HwCDe8G/nlnCB+M+ou/glRkzZgzz5s1LLbkUaH9WXnllRo4cyQ477MApp5zCMcccwyqrrIKZlb2BaQkvTx/AzPr81O33BraJeElldFKP0cxO8Q9/L+kJoHcRzVGAAT6OIxmok5qE75fGRgLrmtkJkgZJGmxmj6WMo1fi3ANxYgLFmNVGRhFgQCz4E5wXvaGZfSEp7cZgfmQUwUUPe0NflmW7jEMAgIl/PTO3dSa+/nwxL/5/e2ceJkV19f/P6dkYVJCgIm4RETVIBNeYEAXXiOtr1ETjEjWRn0ajeY3ilsV9exWCEiOYoKJGo8YVVOIGuIviLqK4kAABBJRtBmam+/z+OLe6q/fqmR5mpO/neephuupW1elmpk/dc8/5nt/akvLQnfZn/vz5XHvttbz88ssdbJknkUgkC/mPOuooLrvsMjbZZBOqq6upqalh2rSyJY53XjRV5F9o6wTO8+QCThFsFvQXbF1xHyzUmTl7yhzfhIUlwVR5roxiiJqu6r4FhrwhIv8QkeNE5MfBFuXaEXhBRCaKyM9dZuyjwDRXyP91jvGvi8hYERkqIkNE5BYshFywjyOsHa3UOJZ8A/DvPLUyJWPrW9YAmESG7iikGvtCSt9TNbUu5tboWtavTUugAUjUCLHm/H8Nyfq+mlSNY7AmGFwjWe8XKh+JJVLHmzeodjalrisuQadqddzZEcuuGxShqVvqv612We419mzd1sLs8v9shjhj7P+y+6kjqQaq1qjNBmOQqIIVW9USr3MJQ4nUPdb0CN5T6nqJuPL0VTOoq6tjww03ZNCgQaxatYrZs2fz3nvv8YMf/ABPeUgs2C5rX2zTjwuec/HFFzNu3DgOOuggXnnllaw13SFDhrDffvsxePBgtt9+ez7//HPOO++8sqgJ7Vpby661DQA83tA18nmqSiKRyKmNu45zOCb7lo96VX1WRERNQPtSEXkB60SRi76q+lMROQ5AVRslT0pyhlOLYR0wCn25dMMEDA4M7VNCTe4LIdZ0uRn4c44Z7JmYgMFgLL42Afinq4fcJ8flBrl/Mz+HHzib8jr4dtVKdTSq6qAc+9uEtLhEmyAjNZ6wpsQiUOVqA+tqUo6wSky0xmWkJmqr0eqYhTSds4rXVaEx94WfbIskaLULqSaUeG0MiStxl1STCLTFg/rBAr8yKlhoNTReCTmxmNVKJmpzO8TAKcWaE8ns1VxlGE+//Dv2H3J1fkOAPU628Of1J+9iYdNqc3a7nDGKeDehZqXSUi+pwnyxhCIJKR9qlRCvharV8PUe1iFng3dr+cf0Pfjq/sdpmtuFZcuWJb9Me/TowVZbbcUDDzzA8OHDEREaGhpYuHAhW2+9NQsWLGD69OkcfnhZnp08BVi6dClfffUV06ZNo1u3bmy77bb07t2b3r1706NHD/r06UO3bt149tlnueWWW5JNnsut7nNY14bIYzfccEOWL1/OT37yk+KDo9Lxs8EoFEsIXy0iMeATETkL+47OTvtO0STWjUMBRKQvJg6Qi7DiQws2CcorF6SqpxSxtRgnAb2xevfMaytW6fBglAtp9P6NWbS3VmqnJFHfPhqa7ZbWneNh7qUHflvwlGemXtyqW8XL8NGseO4lGt+bxaYX/irpFK+//nq+/vprbrnlFkaPHs3IkSMZMGAAp5xySlbbpkQiUZk1da2k2OwwF+PGjeOiiy7iyy+/ZI898i8ZVVVVceONN3LiiSeW7BSbm5uZO3cuX3zxBV26dKF3794F6z1feOEFNttsM6qrq3nvvfdQVe6//3622morLrzwQsaOHcv06dMZOTKfHGlpdPLkmzC7Fjn+G6ArVopwBTZ7KlSE/0fgKWBLEbkHm4GdnGtgqY5ORLbAOmkMxhzvi1hHpblRzlfV+Vi2bVbmaNSMVxE5QVXvFpGcyhgF9GyTlOoYjyVV5N8rEMF16jf5nlC6iMgb2NPGtVq491d0gjrFQFUmJumzRRFojhMLyasl6mvQ2uqkqLe68gMSSryLqcdIPJX0kqwzVBcarZKkGkwSFyoNS8XF4pqcBdqMUiz06K4TVtJJc6YuWScVhrV/WlwtYaAeU92Y/tc89KDrkj/nK88ohsZsi7nWqPE6szlRQ0j8HBK1wXG3LyOSu2zW2yx/4Tl6XXAmsfW6oqo8+uijXHDBBey222706tWLWbNmcd552euhhx56KGPGjPFOcS3Rp0+fZC/IXDQ2NnLzzdYtaPDgwSVde/Xq1dTX19OjRw+23357Xn31VbbffnuOOOII+my0jOEnpic1Llq0iDPOOIOWlhaqq6vZc889ERFWrVrF3XffzZgxY1i+fDn77rsv119/PSNGjCj9DWfSOdYP0xCRm8lhVfA3oaq56vCWOHWxlVi3ioKo6tMiMgOblQnmuHL2emwFt2OydMe41ye4fVl6hk6V5gRMz7Q3oRZYwN2a3YA4asZr0Hut1aK/kUXEnVbqfGBHtT5aUUXEN1PV+U514DlgP7WWKrnuEV1E/P159OhVz1cLQ6GYtC/UDAFRSImKh8aHs0gDCtbnZYU4Q+cFu9wPPbvXsmR5U5YZWScUuVemo9yhT3rD3Y8/WZD8OVMMvBiBePOH/7H62IKzXg3ZFAvtA3bYfCPmzp3LsmXL6Nu3L127dqWpqSlLP3TjjTfmyy+/TL7u1asXm266KfF4POf6Vani0h3BumrjnDlzaG5upnfv3ml9HgvR3NzM/PnzWb58OU1NTWy66aZsvvnmqCozZsygpqaGqqoqdtxxx+Q58+bNo7a2lu7du6OqxGKx5JpnIpFg8eLFNDc3s8kmm7By5UoWLVrE6aef3mYR8R7fGzKl14HFRcQ/v20kq/+bX0S8nBSTW1PVO3OcMw1rejwdK1t4QVULCveKyE5YfkhycqS522WVhIi8nbl0lmffk5g/eRSrxQy3wNoHC+GOVNeo2Z3zkqqW9oTWStpbKzWYGqOqn4nIFKy7dU7HCNFFxK87bQQ/PmcnHvrTOymHGIullWMASLh5cXW6sHaiWxfi9fYRxF0bqVizJhNpErWx5BpiEHKRFk2qysSD9UIhZUNybRJOPGRL7pqUatptoRtNXYdQ0k5ICSewI0gACkojtApql8WJd0ld88WHzuPS665P3nvKU8X1Lrd78Aqa19j7Pre+D78eeiijXjyLj57vC0Cty+/SGElHWOX8u7il3eauEHc63qtmf8TceyyR47777ktqm6oqn376KYlEgq233ppzzz2XAw88kPr6eo499lhUlV13LRwl6hBx6RJZF21UVbp3787QoUP5/ve/zw477EBdXR2NjY00NDQQi8U4+uijqaur49VXX+VXv/oVX3zxBQ0NDRx//PEccsgh7L777nTv3p1u3SzSNXjwYG688Ua++OIL6uvrky3DFi5cyFVXXcX+++8f2b5w26w20clmjLkcX4Rz9nYTl92x5a1JIrK+qn4r13ixLkk7AR+Q6gYSOUGmCIud3mkQWTwOWJJj3Ik5ZqkrMfHxGcCNIpLZNfsNEfkH8AihNdF8Dl1ENgZOI/sB4NRib6JdtVJFpAfW5mONe5ODsemwpwjTHjufocPso3r5/tR64pCD8398rQ2jtoVlb73OgsfuA2DMmDFJpwgW/jnjjDMA+O1vf8sJJ5zAQw89xLhx49hll4LZ0p4ORkSYNm0aM2bMYObMmYwfP554PE59fT319fXMmzePs846i4suuog5c+aw//77M2LECHr27Jk3FF5bW8sNN9zA0qVLmTVrFsOGDeOAAw7glFNO4Y03ytKBqSSirjGuzcC+tKIDhitc38ttGwITsTZY+dhTVfsXseMw4F2X5YqI/AHLCJ2DhV4/z3PqqVh7rVHufbzs9mW+j6Kh2xxjSs14fRT7HJ4hvXlyUdpbK/U7wFgRSWCpvteq6oelGFjAKCBVPJ8siwjpjpLZvkmVRFfXiqrG1hRja+Ik6qqoagr9hbS44v0WhWTbqZQGaRDASRbb18RIBJ+ku1fVGk2eFoQdbX1R0kxKez/uFoHazJQns9dRpj6Rvm+fH11nknZVknSamWPCbDNqJLAeVCu6QQt0geNfO431a2DNFs3Uza2hKSSbGawhrt4IEl2CLiFmfMPMj1jonOLEiRPp27dvznsuXryYv//970ycOJFrrrmG7bbLLi/wdD4GDRrEoEG5E8pVlQ8++IBhw4ZRW1vLoYceykYbZT7gZ3PJJZewxRZbcMwxx3T8WnInXGMk1QGjFKZi4chrgCdUtanI+FdEpH+R7+KrcJmhInIothZ4HBbxuxXIKU/lJOOKppVnKOqkHSJHQo27dqkZr11VtVWzhfbWSn0Z+G5rDItgVP5jYWcZDK+xt5qoqwmFW90wJwiuMVPGkZAAeaIqcG5ibadiLgwas9KFeI1To6mWZJgxGB++R8o2Z09VyhHGgvIQsRDqkEOuT4ZVg2SfwFkC7DfUSjGenWKZp0G/RAApUH+53ZWjqEaId1WkWYg3VMF6wptP9Wf7/T5lYL9/Qz/46Pm+6HdW0rQo1fOwemV27VjTvPkAPPLIIxxyyCF57/vMM8/Q0NDAqFGjaGxsZOXKlWkzS883DxFhwIABTJo0iYEDBzJjRrH2e0Z7ttBqDZEyydei89RUB4xDMScXJW+2JxaN2xs4201EXlHV3+cZfyfmHBdgIcnAGYWl0tR974O1qfqb0xh9U0R+RQYiMkKt32HO5KHMpKFMRZ1ClHrtEBNF5GBVfSLqvQLWDUm4CmW/oVfz/JSL2fuIlNh9odliLuLLVzDr0nOZdSn06N+LPkd9l3cvuZHvPp4esp09IqVJvGbNGu655x4ueeNNHnjgAY44In8Cw5o1axg+fDgrVqxIhstuueUWrrrqqpLs9HROdtppJxYvXvzNfNDpnDPGgGOB0SLyT+D2QpmYqvq1EwTfEmsK/wMKt4YaD5yICa/kc7wiIutjocv9gFtCx7rkGB/YFykmLiK7Axup6pMZ+w8D5mu60Hep1w5mowJcLCJrMNGAvLPRTL75jjHH7DDrGCSbBccam9G6oO4hULxJjU/UxFKZqkDNqgSJWknOxJKdNEIF/RqDqia1jhpujLpIb7KEo0WTIdhkaDVjVljVlEj+d0pcs1tgkZotBu9tv32uQbo6sYHaWFJA/IWHbYbZd+RIqle52esOqwDYuNsqvnptE3TucuKbC7HaOrr0rOWrDxfy1YcL6XJFF/re/TusNVqKeDzOTTfdxGWXXUb//v25//772WuvvbI/9xAvv/wyK1asYMSIEXTt2pVLL72U1atXFzzH882iZ8+exQd1QspZx+gSWg4FFqnqgBzHh2JrXsHa3EOqenm+66nqCWJdNY4Dbhfran87cK+qpul9isinwCysZvBW4JQi4dR/h7M98/An4G1gOTDTRQIRkZ2B/2YO1lQ7wQZVTesDKdY0OZP/I3ft5ExgHCFVmuDaUROTSpmN5uOb7xjXIV545PyCyTXlpvnrpbD5hiSa1sCyqmRhfa5uC0uWLOH4449n8uTJAOy8885FnSLAXnvtxbRp09hzzz0ZN24cQFq5hsfToZRvxngHlnSStyUTVkZxaNQLqupyN2Osx4r4jwTOF5GbVPXm0NB+EUOuAR+JyN+Bx8mT3amq40VkMlZM/07o3P+SRwzAEalpMtBTVb/IPFlVZ4tI2pNWaxKS3HmDgbdVdZXLlN0F+JNbBy3IN1dEXMRpH7iifrc+mNyqYslif8D0VBNKrGENsdUtxFa3gGpy9paoq7LSCSUpHhAUvYefKpPCwu56NtaOxeJKVVMCiaudoybfJnFNlmNoKJcnFleqmm2LtWiy92EQ4qlaHe13vaU+RrwuliYekLQ3DlVr3FaVQFet4IPfP0K8sZElzz9Fdbdu3HDDDTQ0NNCnTx8+/vhj6uvrWbBgAXPmzOHDDz/kmmuuYeDAgQwYMIDm5mYmTZoUWZarurqavfbai5qaGg480JLJnnzyySJneTxrh3KJiKvqNGBp2ewSOUxEHsZqv2uAPVR1GNa8OFMdo1ZEzhSRW0RkfLAVuHw95hAPxOoFD8Nmu2mo6jxVfStwuk467pdA1h+wiAxza4Cbi8hNoe0OcjdNrs+xLyCzaPYG4EZstt2IteK6DSvveL/Adf4CNIjIQGAEllFbSFw9SbuKiIvIIGdcNyxd9ipVDV+r9YSTb8I1hEGos4tpoUIoe1QkWYOYqKtOOzfWlECdryVmIVVp0WS9YaLGhUkDoe8WJd4lZnWP4byUwJTgpULDRqkBQW2iVkG1iyjGmlLv5cUnRqTNGsNJN2AJN8GaYqCIIwllzYaph4Dp4y3BYdvrRwHCuSfZg+Al123AovH2O/3cnw/gyLtuYYettuSgg04DrKB7++23p1u3bnTp0oW6ujrq6uoYOnQojz76aLLm8OCDD6Y19OvXjwsuuIDrrruOJUuWfGNDcJ51hBLWGEVkODA8tGucqo4r8Y7fF5F3sML281T1gwJjjwFGOYebRFUbRCSz/OEu4CMsU/Ry4HhS63JpOL3rd1V1VBSDXY36T4GfYbWP12Dh3UxKbZr8jIhcBfxOQyozInIZGY2LQwlJV6jq3qFDjztxg3y0qKo6+dLRqvq3YgIKAe0tIt4AnKSqn4jIZlhG02RVzdUixOMoNYHmpQfPY/dTC8v/PXXbXBaN/4If/ehHTJw4kSFDhnDhhRdSV1fH8OHDk2HOvn37Mnv27FbbXoxLLrmE6667jiuvvJJRoyL9bXo87UZUfWPnBEt1hGFmYP0PV4rIwViRel7xWVU9qcCxZzN2bauqx4jIEap6pwuTTs5zblxEDsfqDPMiIqdhDnAL4H5spvioql6W57qlNk3+LfBXYLaIBA05B2LO9Zd5ztlYRLZR1c+cjX2AjQvcY4WIXISVmuzt/FehpKQk7Soirqofh36eLyKLsDfSdscY1P0lEq7UIV15hpYEWudkpcJJLMGw6kBTNaRG407VDOk4iSeoioeOu1lndWOclvqqlC6qm1XmaiKcStqx181dheTjahehdnm0v9A9TxgJG1TR4vLCYi3WKUOAxp523+2uHkWs2f5z6xfCted9l08ff5Gf//zn3HHHHdx2220sXbqU2bNn07t3b5qaUuv048cXisC0nQ02sHXxJ5980jtGT8eyFrNSVXV56OcnXNhzo3yF7hJRMNsROKKvRWQAsACL5OXjZREZg0X8VoXsCtfc/Bl4BfhZKPEmyqcVqWmyqq4CjnNSoYE+4AeB08vD/2L9FIMxW5NeW59JMNP9haouEJGtsKSfokTWSoVk5tUMVR0jEbVSQ8f3wBzojvkWiqVVWqmN7mR3IBnDTIVN028SDAtppGZ+BEL29dKuHdoVdqIZt+vZvZaNNrKPZOachWnHNCZJZwnwnW+n65/m46PPF7rz3S1D9gXZrYnq1H5ZE6e2FifXAAAcIUlEQVRxyXwQYddddmH16tXMnDmTmpoa4vE4m266KXPnmvB9nz596N69e7v3u2tubkZVqa2tLTp2XdUhXdt0dhtLtW+fffZps1bqRjsPmbLZ3sW1Uj+5dyQNC4trpYrI1sDEPFmpm2Ld7dV9Fz6IzSBzfgGLyGyiCWYjIr8E/omFOm8H1gf+oKq35hmf60tWVXXf0JiNsHDucUAvbNZ4sqpuWcSWF7HuHaOwtctTMD/zx2LvIwoiUgfs4F5+pKo522W52eFkVY2uMxgi8oxRTIvvcCzDqCRcnPou4OfFsqcia6UOv4Afn70TD92U3dg6WczfrUvW7C/cODg5swuU60Oap8lyjHAT5EBjtTZGrNneRqImluq4EbpXrCnBcUd/mz/f9hrPT76APx5yPS31qZnrys2qqGnQpChAonp+8tibt+UKyRsj7kiFTAPn2NRNaHbL1UHXizUb24UXXTGGxv/O4bunXsXBw3pxwAEHsN9++zFhwgT69evHRRddxMqVKznzzDMjKZesbdZFHdKOoLPb2CH2RZ0xRhgjIvdiEbSNRGQu5hxqAJyDOho4Q0RasASSY/M5RcfCKE7RXf+v7sepWA5IsfH7RBizGMsP+YuIbInNvhaJyEzgYVXN19eu1KbJpbIrKe3TgSKCqmZlAruQcYOIdNfsLh1FaXcRcVeLMwlbZH21VAPzEvxOhX+3XF2ihPYlW0fFs8dLixMMV02GVoM/AkloauYoQsIdD1RmgppFrckIuwaqabHwtDObd24y57f7KeboqlfbjVu6pJ/z/Z/dmHa/RB3J5sHBOc1dJSlJ17KeIls2UA2oKo3/nUOPQYN56U+/Zscdd+Tqq6/mpJNO4o477kBEmDJlCqecUqrSksezDlDGOkZVzZWQEj4+BivnKIgLoUIJgtki0gu4GthMVYeJSH/g+6r6tzz36I45qiCRZSpweT4Hoqr/wTJDb3DJmIU6FZTaNDkyInIX0Berrwy0T5X8JTKrgfdE5GnSQ8b5lHKStLeIeC2WqDMhs+hzXWXq4+cDJAXAn59sy65TJ+VOqJl+u2WQfu9Ec5CFZoulsuYzm4V+MfUJ7rvvPrbccktOOsnW9KWjdSo9ns5A51O+OSz0c1TB7DuwEOol7vXH2PphTseIKd+8DwQ1Vye6838cHuTqCX9GKnQ5ExMYyJmA48hsmrwvBZomuxKQuWqNJoZi4eAJeRI0dwP6F5lph5nktpJpbxHxn2BPJT1F5GR33smq+jblQiQV4uySWrPSOtd4uCVIrNFUn8XAJ8Qk9cQYT4VXVdz6n4bGBqcGijShhsWxeOv+uvY94NrUi01rESWpXBMPykOAlq6he7Wk1g8T1SZoXrtCqXHPQ6t6C4219cRXrGTeJbcyaNAgFi9ezIQJExg4cGCr7PR41kWE6FmpawstXSgbTFrtfpeBiaq2iEihbhJ9VfWo0OvLQpmhAIjId7CyicnAW9jHtTsmsbaPq1bIZf9092OkpsnY2uhuIrIt5sgfwxod56oJex/YlBzKO3lsuVNE6oGt8tmbj/YWEb8buLsUg0qmKpbqvRisHdZUpbrOk0BjMXOK4aSZZOg0PcQaCISnBkKitiqZKFO1OtWvEYXqVfb717J+FdMetdniXkfeAF1ibNfPEmr23c8c4HPPXphlfrwmRqIuRu3KBM3rpdYgg24fiWqh2uUXNTsHGa+T5HsNQqzN68Py/i7GqsKCa/8CwIQJE9h2223p3r07p512WsGP0uOpKMq4xlhuXLbmaKzDhWIZor/R3O2eVrnZnbpz9wQKras1isgPVfVFN34wtu4Z5gqsvdT9GXYdhYVtjyIHIrIdcD7wbdJ7IO6bazyQcI78SEyV5mYReSvP2I2AD0XkddLDy/mUbw7DQsC1QB9XV395vvFhvtmScDmigVoTyqgsg65PojZPhmbGH0v1yuwHtFmfLqRQPkG8Jt3AV++2sOpe/2MZxYnq7DeYa19zRjJfoqGR5vkLGTVqFBtuuCEbb7wxCxcuzDrP46l0OtuMMcTfsZKJI93rY4H7gO/lGHsuNtPqKyIvYSVxRxe49unABLfWCPAV2eHO76pq1jVU9Z8icnWBaz+A6bXeRrQeiM0icpy7fxBGzldreGmE62WO3wMrJURV33a1j0X5ZjtGT06WT54KwGmnncY777yTpXvq8XhwddAdbUReRFXD8mV3u2SWLFR1hogMAbbHpguzchXZi8g5qjoaWF9VB7rEyLQayxCrcuyLcqxFVf9S4Hgmp2CO+ipV/dw5rpxRRlWdKiLfxrRhn3FLfIVqy1pUdVlGPkWkR6Goa4wbYioFA9yFT8UWhm/Fama+AI7P9QGLyDnAadh/2G2q+qco9yzGk59cz5QpU3hy5vHluFxZCTpbTJkyBcgdQoX8CjcvPHJ+q++9cuVKNvjlBRxwwAGst956PPzwwxx00EGtvp7Hs66S1ELtnDzvFMXuw75zfwpMEpFvAahqUpdVrHvFU6r6gYj8DthFRK7MKNgHc0KjgZuBXfI4xIBNRCRX80yhsNrM42L9Gh8mPdyZU0dWrVny2aHXn2P5K9k3NjWe4cC3sOzUzTEflLWk53hfRH4GVIlIP3eflwvYniTqjHE09sEf7TJNuwJPY3p/U8W0+84H0hpjOhWG07DpbBPwlIhMUtVPIt7XUyLnnWdOeeLEidx7773ceeedvPbaax1slcfTSemka4yYI4RsZZdTMYvC9Yq/V9UHROSHmF7qDVgNYmbYdaaIfIFJq4ULwANVnXCj4tuAfO2b/ppnP6RCsuGn+0x7A5EBBZbmCtnm4UzMl7yGGfyJiBQqBfk1lqm7BquomIytnRYlioh4Nyyz9GRnTBPQ5OpZAgHXp91NMztGfwd41SXvICJTsZj52uutVEGMHTuWsWPH0tDQwPvvv8/ZZ5/N888/T58+kcLqHk9loZpW85yPjihsUtVS/miDtbxDgL+o6qMicmmOax7nFHgmY2Ithe5fqCSj0HlR7T7Z/RtlHTJgjao2BaFREammwGOL8zuXiMh19jK9j2UhoswYtwG+xJplDsSU08/BUmcPx+oXj8G6R2fyPnCVy5hqxFJwI3Vh9pTG0qVLOf3009lxxx2pra3l1FNPZdSoUQwYkKVO5fF4cOUanXSNUURqgDNIFeFPAcbmWjsE5onIWGB/4Donm5Yz9VBVF2Bi3cF9egBbqmq2hJgd7wL8AtMzDWufnpoxbl9VfS4kUJB534cyXs/JNa4IU0XkYqBeRA4AfoX1lMyJiOyO1Wxu4F4vA05V1TfznZM8t1itpKtLfBUYrKqvichorKvzPcBNWBnHY8DZqprVR8jVOZ6J1bV8CDSqas4qdokmUuvxeDxzVHXr1p4sIkN69d97ypZ7FNdK/fDxUaxaXFwrtZyIyF+x7Mw73a4TgbirD88c2xU4CHjPhRd7Y1ml/8pz7SnYpKYaU5H5EpiqqllriiLyANbS6meEWlqp6jkZ4y5T1T+KyO05bqmZjjR03gpSs75a955XaQ6xdKeo8wtM9ECwme9f8xX8u3Dxmar6gnv9Q+CWjJBxTqLMGOdiygTBQtWDwIWq+ntnYFC7ckiuk50s0d/cuKvd9XKibRAF9ng8nlKJ9CjeMY/ru6tqWJHjObFejlm4kOFDodf/pXARfHdVXS4mPn67c2g5Z4xEbGmlTiS8VIECVU1bxxSR/8HWEXONTYjIndgao2LZt4X+d1YETtGd/6JzxEUpWunnpt7/cWuKYBlAHwaLns6L/w7LDsoiNG4rTHLo3lzjPB6PZ62iEbeOIe7k0oBkwX8p63GFqHazyp8AE4uMzWxp1Z0CLa1EpKeI3CQiM0TkTREZ7ZbSIqGqj2AycrmufQjwKRapHIP1chyWY9wuIrIL8LqIjBWRoSIyRERuwdU0FiNqVuqvgXtcRupnWNrvSSJypjv+EKa1h1hD4r+qaiDp80/3wTRj09qvIt7T4/F42o8yioi3A+djJRufYWHDbxNNYi0Kl2OzvhdVdbpzuvkqBca5dcjfY0tm6wN/KHDt+7CkzEAZ53hMtzVn+6eMNckYpoea73HkRmAfVZ3tzu2LaaE+mWNcmHBnj0iPOiX1Y/R4PJ51AREZsukOe0/59q7F1xjfe3IUq5asvTVGF4XbE0t0DIr28/Ye7EyIyJuqumvGvjdUdbc848Nrki1YTfxtqprVrUlEpqnq3qHXgq2N7p05tq145RuPx1OZKOlt6/KOW7uTB7eWdqOqfh/It/bXakRkY6y+fGvS9UyzEmSkxJZW2Cz3WKyxMZg0Xd4OFyWuSX4gIk+4aytWDTE9mHVmZr46YZqTyH6fRdtOlUFNtP0RkWNE5AMRSbgs2fCxnUTkFXf8PZdejIgc516/KyJPiXWk7mw2ThGRWSLyttvK0resHPaJSFcRmSQiH7n9OdUo1oaNIrK1iDSGPqdbQ8d+6v6PPxCRdq2PbaV9tSIyTkQ+dp9lTvHlDrbxKRF5x513q1j3885m467ud3O22BpWWWZwgfpNwa0cNyqdf4nIUeV6nxk8iq0VPkOqNVM+53UHFnYNdCU/xlpLpSEiK0RkOSZI8HdM0KUJC61mVSGIyM3u/zHnlseWLsBCYAjWFPpLTAXnMODQHOOfwJzie9jsO9iK8k2ZMb6PJe6MDe8UK/C8GzhRVd8Rt5bp9o/Genctdl+YZ1G6CG272RgacrzrSNLelGpfHXCDqj4vtrb8rIgMU9XMeH672+j4VFUHZdjeE/g/YFdV/VJE7hSR/VT12c5gn+MSYJGqbicWIvtWO9kW0Bobf+KyFAXLOj8G+0LrTDb+BZMDexX7wjuI7LWlkhCFgs2ZOpZzgfWwJJxGUuo0WWUMraCrql4QcWykllaZ2aURCH/nXUb6OmBOSs14BbrkKkGJwjfCMarqTCBXc90DgXdV9R03bokbV4P9Iq0nIkuAbsDszmTj2qYV9jUAz7t9TSIyA9iig2zMxzbAx6r6pXv9DLbo3y6OsRX2gUl47eDOTwCLy29ZitbYGNLMrMZqydo1dliqjWIZlN1U9RX3egLwP7TRMZaz7ZSIjMdmLYtUNUtVwz10jMZEThqwvrSZWqapW5buaEphoogcrKpPRBhbaksrRGQnssOXmQX+d4bG/yb8usB1t8MekHqp6gB3n8NV9co8p9wlpq86kQi6rWG+EaHUAmwHqIhMFksPHgHg1CHOwKbQ84H+5O9m3SE2hrjdhY1+305hk7baF8TqD6OdHE5E+ojIWyIyVUT2cvtmAzu4EFw19mWZS4GpQ+xznxvAFe6zfUBszaajyPUZAiAik4FFwAps1thR5LJxc9Lrn+e6fW0mSig1Indgs9h8DAP6uW049gVf2DaRw0XkBrflChW2lnMw59goIstDYdBcZLa0moBVKeSzeTymNnMU9p2RL8wZJuqnfBtwES7i5tR6ji0wvgmLKL1CKowaKTrXaWaMIvIM1p05k0tU9dE8p1UDP8Q6Szdg4b43sXThM4CdsfKSm7EPNN+TxVq30YX7jlfVeSKyAdbJ+kTsF6+z2BeEWu8FblLVz1prWxtt/C/WhXuJiOwKPCIiO6rqVyJyBpYOnsCU87fJc421bh/22W4BvKSq54p1K7gB+3/uFDYGs0VV/ZHY2vc9WB3Z053FRnIv87V9VqtatsQaVZ0mIlsXGHIEMMEVpL8qIhuKSG9XjJ+F2Jr+7tj/B8A5Ys2Fc7fqKc3WyLNRjdjSKsSeqtq/rTbmoauqvp4xf2gpMP5cTKCg5ChNp3GMqpqzzqUIc7F03cUAYhlLu2CSdajqp27//UA5fqHKaeOzqjrPXXeFmKLEHrTBMZbbPnd8HPCJlqldWGtsdGnqa9zPb4rIp9hM9w1VfRynlygiw2ljEXSZ7XsTe9h42A19AJO0ahPl/gxDY1aLyGPYl3ibHGOZbZxLehh/CywS1CaE6DNC97s1PLRrnKqOK+F2mwP/Cb0OZr35FGoOBga58Dtiii9vUYbvMXe9HtjsNax/Oi10fHfgP6q6wK0r7orNAueIyKUFwpGviEh/tXZShe4floLrGpqxFlpLXSxWuxiEdY+msMLPB9jfX8l800Opk4GdxDIoq7FspQ+BeUB/sbRkgAOAmZ3JRhGpFpcpK7YmeiiWlNAp7HN2XYllr2Vloa1NRGRjcZmSYsXI/bBIQFhZqQcmKlyoJc5atc/NDh7HMujAqUatbfsK2Sgi64ut4QXRgYMxbcxOY6ObVa0QkT3FpgsnYZmVbcMV+BfbUFDVcaq6W2grxSlC62a9G4Z+7l7i/fIbYlJw07C//cvcv5dmDBuLhSIRkb2xHokTsPXFQu/9Tsw5zhLLFn9PcsjNqeoGqtrNbdWhnzcokGB0prNrBxGZh30vnVHAljjwtpj6TbGM1zQ6zYyxECJyJBYO3Rhr1vm2qv7IhdJGAtOxX7InVHWSO+cyYJqINANzSLU56RQ2ish6wGTnFKuwxJHbOpF9W2AZlR8BM1z4YoyqtpvjyWcj1mHgchFpwX7ZTw89sY4W6/oCcLmqftzJ7LsASwL4E5ZeXi71krLYKLbm+ZhYR4Yq4DnyyDt2lI3utDOwdbx6LOmmPNnRa69GcS7p69/FZr3XAG+J9S0U7LO5qEy2nIOFaV9V1X1EZAfMQYapCn32P8VmyP/ElMzeLnDt8dhSwXvY8kbZcEs5+7vvzpgWbyP1iNtKxivfeDyeikNEhmy+zV5TthlwWNGxb00dzYqv5xZNjHNrjBPzZKUegpWMHYw1EL5JVXOKZYfO6Y05MAFeU9OtbjMiMl1Vd3cO7nuqusY9nAwKjXkfC+W2iMhHwPAg1Coi7+d6j+7Yc6qaU+u0DfYWLLlQ1ZEFzq3H1q1nlXLPb8SM0ePxeNqFMs0LROReLGS+kYjMxeryagBU9Vas9vJgLJO6gTyRAzHx6zBBNu5mIrJZoRKPEpgrljH9CPC0iHxF9uz1Xqz/4WKsl27QumlbCpdrfOTyJR4nvUTiofynFCVIFtoee1B4zL0+DAsJ50REDsOS3WqxbOdBWFSpYJNm8DNGj8dTgYjIkM23/uGUvv2LzxhnvHgTK5YVnzGWAxc6zYe2w2xsCLZ++ZSqNmUc2xPoDfxLVVe5fdsB6+dz0FJiP8YSbf0XcFQQQhXL5n9AVXOWyYhVKOwLTFHVnd2+91T1u8Xu5WeMHo+nculk8wJV3ac9ry+mvvRuEApV1akFbHk1x76Ca/haujpNKWyFSwhyNFGgBRbQoqrLJL28I9L/uHeMHo+nMimtgH+tIyI/IFtBptXlXO78hJgu7laq+u82mpiFS9q7GRiMOaEXgXNUNW+D+hK4C+ux+LC79pFYFmw+3heRnwFVItIPOBurdS6Kd4wej6dy6aRLSSJyF9AXeJtUba7ShjrnEL2xThWvA6uCnVHW3iJwOyYifox7fYLbd0BbL6yqV4nIk0CgiHSKqr5V4JRfY5n1a7A108nAFVHu5R2jx+OpSCRqo+KO8Z27YU0Q2uPumaUZ5WRjVQ2vM94hImWrg3Zrm5ESkFS1AXOMl5R6H+8YPR5PhaJIJL/TIZ7xfUxSr5CyS2s5WDO6a4jIdUDe9cYSWCwiJ2AzNIDjgA5pnCDW0uxissPROxU71ztGj8dTmShlLkFvOyLyOGbZBphC1uuklz2UI9x5ACY8EWZYjn2t4VRgDDAKex8vu30dwT3A+bRCbMA7Ro/HU5FY94zis8G1nKBzQ3tdWExw/1fANhkybRsAL5XjHi6hpxzOuxx8qaqPFR+WjXeMHo+nMlEg0emSb+Zh/QbTHJXTK53Xxmv/HZPSu4Z0MfIVBUTBS0JM7PwcVf3ave4B3FiOOsZW8EcR+SvWEKEksQHvGD0eT8XSCcs1/oSti2XS4I4VVyTIg6ouw1RrjmvtNSKwU+AU3T2/EpGd2/F+hTgFaxJeQyqUqoB3jB6Px5Ob8vVjLCNbqzXgTUNV35DC/R47CzER6aGqXwGIyLfoOD8zMIrKTS68Y/R4PBVJJy3X6FLgWP1as6L13Ai8LCIPYp/cT4CrOsiWVyVCb8hceMfo8XgqE6Uzzhini8hpqprWgk5EfoE1vu7UqOoEEXkD0ygV4MetcUxl4ofAz0Xkc2yNMWiC7Ms1PB6PJyeqSKTkm7XqPH8DPCwix5NyhLthHSKOXJuGtBbnCDvKGYbJKS4eBe8YPR5P5RJlxrgW/aKqLgR+ICL7AEHPw0mq+tzas2LdQFXntPZc7xg9Hk9l0gkL/ANU9XmgUAsqTzviHaPH46lIJLIknKfS8I7R4/FUJqqQiDBl9L6z4oh1tAEej8fTIQSh1GJbBETkIBGZJSKzReTCHMdPFpEvReRtt/2yTO/C0w74GaPH46lMomqlFpkyikgV8GdMnHsuVnLxWI4yhX+o6lmttNazFvEzRo/HU7moFt+KswcwW1U/U9Um4D7giHa129OueMfo8Xgqk2CNsdimICLDReSN0DY8dKXNgf+EXs91+zI5SkTeFZEHRWTLdn1vnjbhQ6kej6cyKaFcQ1XHAePyHJY8Vw/zOHCvqq4RkdOBOzF1GE8nxM8YPR5PhWLlGsW2CMwFwjPALYD5aXdSXaKqQeuj24Bdy/IWPO2Cd4wej6cyCbRS277OOB3oJyJ9RKQWOBZIa5ArIr1DLw8HZpbzrXjKiw+lejyeykQV4m2XvlHVFhE5C5gMVAHjVfUDEbkceMN1kT9bRA4HWoClwMltvrGn3fCO0ePxVCbRs04jXEqfAJ7I2PeH0M8XAReV5Waedsc7Ro/HU7l0MhFxT+fAO0aPx1OZKND52k55OgHeMXo8ngpFQTtpew1Ph+Ido8fjqUwSEZNv/ISx4vCO0ePxVChRk2+8Z6w0vGP0eDyVSVDH6PFk4B2jx+OpUMpXruFZt/CO0ePxVCaqEI9HG+epKLxj9Hg8lYkPpXry4B2jx+OpTFSj1TF631lxeMfo8XgqFEV9HaMnB94xejyeyiSyiLifMlYa3jF6PJ7KRIGEL/D3ZOMdo8fjqUzK2F3Ds27hHaPH46lMVNEIM0b1U8aKwztGj8dTmURdY/R+seLwjtHj8VQoUbtreM9YacQ62gCPx+PpCFRBE1p0i+IXReQgEZklIrNF5MIcx+tE5B/u+GsisnX535GnXHjH6PF4KhN1M8ZiWxFEpAr4MzAM6A8cJyL9M4b9AvhKVbcFRgHXlfndeMqID6V6PJ5KpHmJLuDDlteLDozTXGzIHsBsVf0MQETuA44APgyNOQK41P38IDBGRETVp8V2Rrxj9Hg8lcgrq1i+8yqWV0UYu1hEhgPDQ/vGqeo49/PmwH9Cx+YC38u4RnKMqraIyDKgJ7C4VdZ72hXvGD0eT8XhZmpvl3DKOLflQnLdohVjPJ0Ev8bo8Xg8bWMusGXo9RbA/HxjRKQa6A4sXSvWeUrGO0aPx+NpG9OBfiLSR0RqgWOBxzLGPAb83P18NPCcX1/svPhQqsfj8bQBt2Z4FjAZqALGq+oHInI58IaqPgb8DbhLRGZjM8VjO85iTzHEP7R4PB6Px5PCh1I9Ho/H4wnhHaPH4/F4PCG8Y/R4PB6PJ4R3jB6Px+PxhPCO0ePxeDyeEN4xejwej8cTwjtGj8fj8XhC/H+E8SlonFqD2QAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.Mercator())\n",
    "\n",
    "data.chlor_a.sel(time='2017-08-16').plot( vmin=0, vmax=4,transform=ccrs.PlateCarree())\n",
    "\n",
    "ax.coastlines('10m')\n",
    "gl = ax.gridlines(draw_labels=True, )\n",
    "gl.xlabels_top = False\n",
    "gl.ylabels_right = False\n",
    "# ax.set_extent([-162, -153, 70.8, 72.3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = plt.axes(projection=ccrs.Mercator())\n",
    "\n",
    "data.chlor_a.sel(time='2017-08-04').plot( vmin=0, vmax=4,transform=ccrs.PlateCarree())\n",
    "\n",
    "ax.coastlines('10m')\n",
    "gl = ax.gridlines(draw_labels=True, )\n",
    "gl.xlabels_top = False\n",
    "gl.ylabels_right = False"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}